reap-labs / reap

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{
  "data": {
    "repo": {
      "topics": [
        "cost-optimization",
        "devops",
        "finops",
        "gpu",
        "helm",
        "kubernetes",
        "linter",
        "mlops"
      ],
      "is_fork": false,
      "size_kb": 326,
      "has_wiki": true,
      "homepage": null,
      "languages": {
        "Go": 136630,
        "Shell": 5859,
        "Makefile": 372,
        "Dockerfile": 410
      },
      "pushed_at": "2026-07-20T11:17:04Z",
      "created_at": "2026-07-17T23:03:58Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-24T14:59:08Z",
      "description": "Find and cut wasted GPU spend in Kubernetes. Static checks for ML/GPU workloads, from your CI to your cluster.",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "Apache-2.0",
      "default_branch": "main",
      "license_spdx_raw": "Apache-2.0",
      "primary_language": "Go",
      "significant_languages": [
        "Go"
      ]
    },
    "owner": {
      "blog": null,
      "name": null,
      "type": "Organization",
      "login": "reap-labs",
      "company": null,
      "location": null,
      "followers": 0,
      "avatar_url": "https://avatars.githubusercontent.com/u/308056764?v=4",
      "created_at": "2026-07-22T15:31:14Z",
      "is_verified": null,
      "public_repos": 1,
      "account_age_days": 4
    },
    "license": {
      "state": "standard",
      "spdx_id": "Apache-2.0",
      "raw_spdx": "Apache-2.0",
      "file_present": true,
      "scorecard_found": true,
      "profile_has_license": true
    },
    "activity": {
      "releases": [
        {
          "tag": "v0.2.2",
          "kind": "patch",
          "published_at": "2026-07-19T22:21:36Z"
        },
        {
          "tag": "v0.2.1",
          "kind": "patch",
          "published_at": "2026-07-19T16:46:07Z"
        },
        {
          "tag": "v0.2.0",
          "kind": "minor",
          "published_at": "2026-07-19T11:56:13Z"
        },
        {
          "tag": "v0.1.0",
          "kind": "minor",
          "published_at": "2026-07-18T22:05:48Z"
        }
      ],
      "recent_commits": [
        {
          "oid": "01b8c2a3c3e788cd6e4bda70d7ce8fe733a081e4",
          "body": "The action path was the one install route never exercised in its real\nenvironment: local verification could only simulate its steps (go\ninstall + run with -fail-on). Run the checked-out action on every push,\nonce with the gate off (must pass) and once gating on the example\nmanifest's error finding (must fail, asserted via step outcome), so\naction.yml wiring breaks loudly instead of on an adopter's runner.",
          "is_bot": false,
          "headline": "Self-test the composite action in CI",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-20T11:16:16Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4c8bab48eae7c6864b7e1fe34a6e5e68198037e6",
          "body": "The pre-launch coherence sweep against v0.2.2 found the README's example\noutput corresponded to no input in the repo: the fixture with the same\nobject produces two findings, not the one the example shows. Commit the\nintended two-object input as docs/examples/app.yaml (Deployment missing\nthe GPU limi\n[…]\n fingerprint included. The JSON\nsample is now the verbatim -format json output of the same run: pretty\nprinted, bySeverity keys in the marshaler's alphabetical order, and the\nfull untruncated message.",
          "is_bot": false,
          "headline": "Make the README example reproducible from a committed manifest",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-20T11:16:16Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "7ee3a4279c26ebcd5b0ac6b39d7f26cecd222a0b",
          "body": "Pre-launch verification read the KubeRay operator source and found it\ninjects a memory-backed /dev/shm into every pod it builds from a\nRayCluster/RayJob/RayService, so the manifest-level absence reap\nflagged was a system-level false positive on every GPU Ray manifest.\nGuard the rule on the ray.io gr\n[…]\n-no-node-targeting, which the operator\ndoes not configure. Post-exclusion corpus numbers (24 findings, 0\nconfirmed FPs) are recorded in the dogfood report.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Exclude Ray CRDs from shm-too-small: the operator injects the mount",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-19T22:19:43Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "899f4c4d6e360b45b1efc1d4301bbae09a74ecd8",
          "body": "…action\n\nReproduce the dogfood harness from a wiped cache: every pinned source\nstill fetches and the 27-input corpus returns identical totals; the\nreport now notes that today's severity split (8 warning / 18 info) and\nclean-chart count (10 of 12) supersede the pre-fix headline figures.\nReading the K\n[…]\nk case. Queue the rule change (exclude Ray kinds from\nshm-too-small) before any launch. Align the README action example and\nJSON sample with v0.2.1 output.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Record pre-launch verification: clean-state reproduction and Ray retr…",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-19T22:13:40Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "2e235fed7c73a188dbcc9ef11f6dc00508a9562b",
          "body": "Users could only get the image by cloning the repo and running make\ndocker. Add a dockers_v2 GoReleaser pipeline (the classic dockers\nsyntax is deprecated) with a dedicated Dockerfile that copies the\nprebuilt per-platform binary into distroless, publishing\nghcr.io/emphity1/reap as one amd64+arm64 ma\n[…]\n login via GITHUB_TOKEN. Verified locally with a\nsnapshot build: both arch images run against the fixtures with the\ndocumented mount and stdin invocations.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Publish multi-arch Docker images to GHCR on release",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-19T16:44:36Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "b3af0e4cf7c7aeb42008a2a3b6f20d39ee0016dd",
          "body": "The README described the output but never showed it. Record a VHS tape\nof reap linting a small GPU manifest crafted to produce one finding per\nseverity, each with its fix and the colored summary line. The tape and\nthe demo manifest are committed alongside the GIF, so the recording is\nreproducible with `vhs demo.tape` rather than being a one-off screen\ncapture.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Add a demo GIF to the README",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-19T15:56:18Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1985c74ce99f9c5c25aa910b3489aa73da0dd470",
          "body": "Verify the parser fix by its denominator: pod specs 54->59, containers\n59->64, GPU containers 14->15, with exactly the four array-nested\ninputs changing and no map-nested input moving. Record the v0.2.0\nrelease verification (checksummed binary and go install both run) and\nrevise the vllm-stack shm-t\n[…]\nllelSize knob is\nset — found while preparing an upstream patch that was then correctly\nnot opened. The correction stays visible instead of silently edited.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Add verification addendum and revise one shm verdict",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-19T12:58:35Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "37ef9678a04cacdf377ebb3c28e2af92560d4d47",
          "body": "The example output block showed a real fixture path with a finding\ncount the fixture no longer produces; move it to the same illustrative\nmanifest the JSON example already uses. Update the rules table to the\nsettled decisions (batch/v1 scope for job-no-deadline, KServe serving\nruntimes in the probes\n[…]\n what the parser can see — including\narray-nested CRD templates — and point to the committed dogfood harness\nas evidence. Pin the action example to v0.2.0.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Align README with current behavior ahead of v0.2.0",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-19T11:49:17Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "6dbe34dc4eb816c45a6a63a57c940bd9911b0404",
          "body": "Resolve the dogfood CRD-visibility item as positioning, not code:\npod-level findings on KServe InferenceService or Kubeflow Trainer v2\nTrainJob would be unfixable or wrong, because the operator injects\nprobes, autoscales natively, or holds the pod template in a referenced\nruntime. The README now exp\n[…]\necked\"\nwith the stdin workaround, updates the shm-too-small row to match the\nrule's new wording, and the dogfood report records all follow-ups as\nresolved.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Document the operator-managed CRD boundary",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-19T11:44:26Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "495017c9a5c2ab5e1ed35ab7d719331fccb97559",
          "body": "On a noisy input the one warning printed after three info findings, so\na first-time reader met the tail before the headline. Sort severity\n(highest first) between object and rule ID in the engine, shared by\ntext and JSON output. Also fix the write-baseline message to pluralize\n\"entry\" properly instead of printing \"entr(y/ies)\".\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Order findings by severity within an object",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-19T11:44:26Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5e4537404abed2d364cdb6198f0ae471266305a9",
          "body": "The dogfood run showed the rule firing on runtimes where the message's\nPyTorch DataLoader claim rings false (ollama, Triton). The rule stays\ndeliberately broad — the fix is cheap and harmless, and a narrower\ndetector would silently miss real cases — but the message now names the\nactual shared-memory\n[…]\ne hatch: runtimes that never touch shared\nmemory should baseline the finding. Rationale recorded in the rule's\ndoc comment; a test guards the escape hatch.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Stop overclaiming PyTorch in the shm-too-small finding",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-19T11:44:26Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "c082d6b6c23b2ec44cda1f851dc258279aa07e30",
          "body": "Add pinned TrainJob v2 examples and the AKS GPU tutorial Job, plus\nderived GPU probes (upstream base and delta documented per file) that\nmake the gang-scheduling and notebook-culling oracles real: each\nsuppression case has a control that must fire, proving the test is not\nvacuous. All four pass. The re-run confirms both parser and detector\nfixes on the original corpus: zero confirmed false positives remain.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Extend dogfood corpus with gap probes and record the post-fix re-run",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-19T11:31:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "766d8bfbbfbec4809d1db4f70fbc3c01130993a8",
          "body": "The bare \"kserve/\" pattern matched kserve/kserve-controller, so a\nstock kserve-resources render got inference-no-hpa and no-pdb findings\non its controller-manager. Replace it with KServe's six serving-runtime\nimages, verified against upstream config/runtimes/kustomization.yaml;\nthe remaining runtime\n[…]\nimages other patterns already cover.\nThe e2e harness gains an absence assertion so the regression fixture\nfails loudly if the detector ever broadens again.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Stop detecting the KServe control plane as a model server",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-19T11:31:11Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "e4839e33401ff63ab79e4f7d50467b91efdf48f9",
          "body": "findPodSpecs only recursed into maps, so any pod template inside a\nlist — RayCluster workerGroupSpecs, Volcano Job tasks — was invisible,\nhiding the GPU-bearing half of every Ray manifest. Recurse into arrays,\nand gate the core-kind pod-spec paths on the API group so a same-named\nCRD kind (Volcano's\n[…]\nb-no-deadline to group \"batch\"\nin the same change: with arrays visible, GPU Volcano Jobs would\notherwise be flagged for a field their schema does not have.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Make pod templates nested in arrays visible to the parser",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-19T11:31:11Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "8b95af3e498703607e0dc40c9c2fe9899e8772df",
          "body": "Lint reap against 12 pinned vendor charts (default + GPU-enabled\nrenders) and 12 upstream example manifests. Median findings per chart\nis zero and severity discipline holds, but the run found two\nrelease-blocking bugs: the parser never recurses into arrays, hiding\nRay workerGroupSpecs and Volcano ta\n[…]\nrve controller as a model server. Findings,\noracle results, and prioritized fixes are in hack/dogfood/report.md;\nthe rendered corpus stays out of the repo.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Add dogfood corpus, scripts, and first real-world run report",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-19T00:57:31Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "67070a862563033354d7e9b9c22cb7200104f3a9",
          "body": "Add CI/release/license badges, a who-is-it-for section, and a mermaid\ndiagram showing where reap sits in the workflow. Reorder install paths\neasiest-first now that v0.1.0 ships prebuilt binaries, pin the action\nexample to the release tag, and replace the stale planned-rules\nparagraph: all ten rules are implemented, so it now documents the\nseverity discipline and what reap deliberately does not check.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Rework README for first-time readers",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-18T22:15:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8491f0896040b0f4fd4837b6be96e7f2f16cdf28",
          "body": "Group findings by file, then object, with the severity tag on its own\nline and a blank line between findings; wrap messages at 100 columns\nwith a hanging indent instead of letting the terminal break lines\nmid-word. Severity-colored output via -color (auto/always/never):\nauto colors only on a TTY and\n[…]\nOR, so piped and CI\noutput stays plain. Summary line uses real plurals. JSON output is\nunchanged; stable tokens ([error], fix:, rule IDs) remain greppable.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Restructure text output: grouping, wrapping, ANSI color",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-18T21:56:10Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "7a1d81ccc65041f38394ad81f821e2a1752034ff",
          "body": "The repo doubles as a composite GitHub Action (path, fail-on, baseline,\nversion inputs; installs via go install). A copyable GitLab CI job\nlives in docs/ci/. GoReleaser builds linux/darwin/windows binaries for\namd64/arm64 on v* tags; config validated with goreleaser check and a\nsnapshot build. Publishing the Docker image to a registry is a\ndeliberate follow-up, since it needs registry credentials.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Add CI packaging: GitHub Action, GitLab template, GoReleaser",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-18T21:47:29Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f8124664d802eed8ab8c75d8f9f3dcdcf159ba7a",
          "body": "Multi-stage build producing a ~5 MB static image on distroless: no\nshell, no package manager, matching the tool's offline-only design.\nLints mounted directories or stdin. README documents the Docker usage\nand the two-command baseline adoption flow.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Add distroless Docker image and document adoption flows",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-18T21:44:39Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e3aa5ccd0ac2c66a3e85be5b2b28cdc8ae9c0576",
          "body": "A baseline is a set of finding fingerprints: -write-baseline accepts\ntoday's findings (deduped, sorted for stable diffs, with per-entry\ncontext and an optional reason field), -baseline suppresses them on\nlater runs so CI gates only on new problems. Suppression happens before\nreporting and exit-code \n[…]\nnd stale entries — fingerprints that matched nothing and can\nbe pruned. The two flags are mutually exclusive: refreshing a baseline\nmeans writing it again.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Add baseline mechanism for adopting reap on existing repos",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-18T21:44:39Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "b44febf9a1bd4784cf63c048dd44655cd8d7ca26",
          "body": "Add the four remaining rules. multinode-no-topology-affinity flags\nmulti-replica GPU training with no placement intent, before NCCL\ncollectives fall back to the slow network path. notebook-no-idle-culling\nflags GPU notebooks with no visible culling config — heuristic by\ndesign, since platform-side c\n[…]\nas one input set in the e2e test,\nso their fixtures use a unique namespace per file to avoid cross-file\nsuppression — recorded as a fixture-authoring rule.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Complete the rule set: topology, notebooks, and set-level rules",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-18T21:37:51Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "7b48694a5e06a76ec58959b3e6fdb9dea6b20437",
          "body": "GPU node pools are commonly tainted; a GPU pod with no nodeSelector,\nnode affinity, or tolerations sits Pending indefinitely on such\nclusters, and the autoscaler will not scale a tainted pool up for a\npod that does not tolerate it.\n\nFirst info-severity rule: suppression errs on acceptance (any of th\n[…]\nobject to keep fingerprints unique across multi-template CRDs. GPU\nfixtures of other rules gain the canonical nvidia.com/gpu toleration\nto stay orthogonal.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Add gpu-no-node-targeting rule",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-18T13:33:19Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "9270f0e07af6cff41fca8ba56b6592726feeba29",
          "body": "Kubernetes caps /dev/shm at 64 MB by default; PyTorch DataLoader\nworkers and NCCL/tensor-parallel inference exchange tensors through\nshared memory and crash with cryptic bus errors when it fills — one of\nthe most common and least obvious ML-on-Kubernetes failures. Flag GPU\ncontainers that don't moun\n[…]\n(volumes now; node\ntargeting and affinity for upcoming rules). Existing GPU fixtures gain\nthe shm mount so each fixture keeps triggering only its own rule.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Add shm-too-small rule",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-18T13:26:34Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "e839972337a06e1a7aff4cc25362af5f4e881bae",
          "body": "Flag multi-replica GPU Kubeflow jobs (PyTorchJob, TFJob, MPIJob,\nXGBoostJob, PaddleJob) with no gang-scheduling evidence in the\nmanifest: without it, replicas that start first hold their GPUs\nwaiting for peers that may never be scheduled.\n\nEvidence lists err on acceptance and only ever suppress a fi\n[…]\nifest. Ray kinds are deliberately out: KubeRay >= 1.3\nconfigures the batch scheduler at the operator level, so a static\ncheck would systematically misfire.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Add distributed-training-no-gang-scheduling rule",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-18T13:20:01Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "c7899103516534a2ccccf3ec3b72ef435fd154c9",
          "body": "Detect well-known inference servers (vLLM, Triton, TGI, TorchServe,\nSGLang, Ollama, KServe, NIM, LMDeploy) by curated image substrings and\nflag containers with no readinessProbe: Kubernetes routes traffic the\nmoment the container starts, minutes before an LLM finishes loading\nweights. The fix recomm\n[…]\nin a shared helper for the\nupcoming inference-no-hpa and no-pdb rules. Per-rule fixtures now use\nneutral images so each fixture triggers only its own rule.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
          "is_bot": false,
          "headline": "Add model-server-no-probes rule",
          "author_name": "Dmytro",
          "author_login": null,
          "committed_at": "2026-07-18T13:09:21Z",
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                  {
                    "code": "top_contributor_share",
                    "params": {
                      "share": 100
                    }
                  }
                ],
                "max_points": 22.5
              },
              {
                "key": "contributor_breadth",
                "name": "Contributor breadth",
                "detail": "1 contributors",
                "points": 1.4,
                "status": "partial",
                "details": [
                  {
                    "code": "contributors_sampled",
                    "params": {
                      "count": 1
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                  }
                ],
                "max_points": 13.5
              },
              {
                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
                "detail": "project has 0 contributing companies or organizations -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "responsiveness",
            "band": "critical",
            "name": "Issue & PR responsiveness",
            "note": "Excluded from scoring (no data or not applicable): Issue resolution, PR acceptance. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "issue_resolution",
                    "pr_acceptance"
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                }
              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 1,
            "inputs": {
              "merged_prs": 0,
              "open_issues": 0,
              "closed_issues": 0,
              "issue_closed_ratio": null,
              "closed_unmerged_prs": 0
            },
            "components": [
              {
                "key": "issue_resolution",
                "name": "Issue resolution",
                "detail": "no issues or no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_issues_or_data",
                    "params": {}
                  }
                ],
                "max_points": 46.75
              },
              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "no decided pull requests or no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_decided_prs_or_data",
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                ],
                "max_points": 38.25
              },
              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 0/29 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
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            ]
          },
          {
            "key": "stewardship",
            "band": "at_risk",
            "name": "Ownership & stewardship",
            "note": null,
            "notes": [],
            "value": 32,
            "inputs": {
              "followers": 0,
              "owner_type": "Organization",
              "is_verified": null,
              "owner_login": "reap-labs",
              "public_repos": 1,
              "account_age_days": 4
            },
            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "organization-owned",
                "points": 30,
                "status": "met",
                "details": [
                  {
                    "code": "owner_organization",
                    "params": {}
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                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
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                "detail": "0 followers of reap-labs",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "owner_followers",
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                      "count": 0,
                      "login": "reap-labs"
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                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "1 public repos, account ~0 yr old",
                "points": 2.2,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 1
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                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 0
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                  }
                ],
                "max_points": 25
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "good",
        "name": "Engineering Quality",
        "value": 70,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "moderate",
            "name": "Engineering practices",
            "note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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                }
              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 60,
            "inputs": {
              "has_ci": true,
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            "components": [
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                "key": "ci_workflows",
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                "detail": "2 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
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                "max_points": 24
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                "points": 24,
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                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": null,
                "points": 0,
                "status": "missed",
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              },
              {
                "key": "pre_commit_hooks",
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                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
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                "points": 0,
                "status": "missed",
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                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "no pull request found",
                "points": 0,
                "status": "excluded",
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                    "params": {}
                  }
                ],
                "max_points": 20
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          },
          {
            "key": "documentation",
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            "notes": [],
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            "inputs": {
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                "helm",
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                "linter",
                "mlops"
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              "has_wiki": true,
              "homepage": null,
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            "components": [
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                "points": 30,
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                "points": 25,
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                "points": 0,
                "status": "missed",
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                "points": 10,
                "status": "met",
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                "key": "topics",
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                "max_points": 10
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                "key": "wiki",
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                "detail": null,
                "points": 10,
                "status": "met",
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                "max_points": 10
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          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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        "key": "security",
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        "weight": 0.16,
        "metrics": [
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            "note": "Excluded from scoring (no data or not applicable): CI-Tests. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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                }
              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 32,
            "inputs": {
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              "checks_evaluated": 17,
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              "checks_inconclusive": 1,
              "scorecard_aggregate": 3.2
            },
            "components": [
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                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
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                "max_points": 7.5
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              {
                "key": "branch_protection",
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                "points": 0,
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              },
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                "key": "ci_tests",
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                ],
                "max_points": 2.5
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              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
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                "detail": "Found 0/29 approved changesets -- score normalized to 0",
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                "key": "contributors",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
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                "key": "dangerous_workflow",
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                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
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                "key": "dependency_update_tool",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "points": 0,
                "status": "missed",
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                "max_points": 5
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                "key": "license",
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                "status": "met",
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                "max_points": 2.5
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                "key": "maintained",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
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                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
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                "points": 0,
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                "max_points": 7.5
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              {
                "key": "token_permissions",
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                "points": 0,
                "status": "missed",
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                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
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                "status": "met",
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                "max_points": 7.5
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            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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      {
        "key": "ai_readiness",
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        "name": "AI Readiness",
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        "weight": 0,
        "metrics": [
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            "note": null,
            "notes": [],
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                "points": 0,
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                "key": "legible_commit_history",
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                "points": 40,
                "status": "met",
                "details": [
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            "notes": [],
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            "inputs": {
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              "lockfiles": [
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    "go package 'github.com/emphity1/reap' points at a different repository (https://github.com/emphity1/reap); excluded from ecosystem scoring",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
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}