Öffentliches RegisterGefährdet
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-26 17:28 UTC
reap-labs / reap
Find and cut wasted GPU spend in Kubernetes. Static checks for ML/GPU workloads, from your CI to your cluster.
reap-labs/reap erreicht einen Gesundheitsindex von 43 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Engineering Quality (70/100) ab, am schwächsten bei Sustainability & Governance (14/100). Zuletzt vor 6 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
43
gesamt / 100Software-Gesundheitsindex
Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.
43
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
Bewertungsprofil
Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.
Eigentümerschaft
reap-labsOrganisation
0 Follower1 öffentliches Reposeit Juli 2026
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht |
|---|---|---|---|---|---|
| Go | github.com/emphity1/reapverweist auf ein anderes Repo — nicht bewertet | v0.2.2 | - | 4 | vor 6 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
67
Entwicklungsaktivität
51Mittel
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 6 Tagen |
| 1.4/36 | Commit-Rhythmus — 2/52 Wochen mit Commits |
| 13.3/18 | Commit-Volumen — 29 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully |
Verwendete Eingangsdaten
| commits_last_year | 29 |
| human_commit_share | 1 |
| days_since_last_push | 6 |
| active_weeks_last_year | 2 |
Release-Disziplin
90Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 4 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 6 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 0,3 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Verwendete Eingangsdaten
| releases_count | 4 |
| latest_release_tag | v0.2.2 |
| releases_from_tags | nein |
| days_since_latest_release | 6 |
| mean_days_between_releases | 0,3 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
33
Popularität & Verbreitung
1Kritisch
Wie die Bewertung erfolgt
| 0/60 | Stars — 1 Stars |
| 0/25 | Forks — 0 Forks |
| 0/15 | Watcher — 0 Watcher |
Verwendete Eingangsdaten
| forks | 0 |
| stars | 1 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
70Gut
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (Apache-2.0) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
14
Maintainer-Resilienz (Bus-Faktor)
10Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 0/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 100 % der Commits |
| 1.4/13.5 | Breite der Beitragenden — 1 Beitragende |
| 0/10 | OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 1 |
| top_contributor_share | 1 |
Reaktionsfähigkeit bei Issues & PRs
1Kritisch
Wie die Bewertung erfolgt
| 0/46.8 | Issue-Lösungsquote — keine Issues oder keine Daten |
| 0/38.3 | PR-Annahme — keine entschiedenen Pull Requests oder keine Daten |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/29 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 0 |
| open_issues | 0 |
| closed_issues | 0 |
| issue_closed_ratio | — |
| closed_unmerged_prs | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Issue-Lösungsquote, PR-Annahme. Die verbleibenden Gewichte wurden renormalisiert.
Eigentümerschaft & Trägerschaft
32Gefährdet
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 0/25 | Reichweite des Inhabers — 0 Follower von reap-labs |
| 2.2/25 | Kontohistorie — 1 öffentliche Repos, Kontoalter ca. 0 Jahre |
Verwendete Eingangsdaten
| followers | 0 |
| owner_type | Organization |
| is_verified | — |
| owner_login | reap-labs |
| public_repos | 1 |
| account_age_days | 4 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
70
Engineering-Praktiken
60Mittel
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 2 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — keine Daten |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.
Dokumentation
85Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 8 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | cost-optimization, devops, finops, gpu, helm, kubernetes, linter, mlops |
| has_wiki | ja |
| homepage | — |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
32
Sicherheitslage
32Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0/2.5 | CI-Tests — keine Daten |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/29 approved changesets -- score normalized to 0 |
| 0/2.5 | Contributors — project has 0 contributing companies or organizations -- score normalized to 0 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 0/7.5 | Maintained — project was created within the last 90 days. Please review its contents carefully |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — no SAST tool detected |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 3,2 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests. Die verbleibenden Gewichte wurden renormalisiert.
AI Readiness
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.
57
AI-Agentenkontext & Leitlinien
40Gefährdet
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 40/40 | Lesbare Commit-Historie — 27 von 29 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,931 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — Makefile |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — Go (statisch typisiert) |
| 10/10 | Reproduzierbare Umgebung — Dockerfile, lockfile |
| 0/10 | Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 29 |
| 0/8 | Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | go.sum |
| has_dockerfile | ja |
| typed_language | ja |
| bootstrap_files | Makefile |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | go.mod |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
100Exzellent
Wie die Bewertung erfolgt
| 45/45 | Typprüfbarer Code — Go (statisch typisiert) |
| 55/55 | Handhabbare Dateigrößen — 0/42 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Go |
| largest_source_bytes | 8.251 |
| source_files_sampled | 42 |
| oversized_source_files | 0 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples |
Verwendete Eingangsdaten
| example_dirs | examples |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
1GitHub-Sterne
1Mitwirkende
29Commits, letzte 12 Monate
6Tage seit letztem Push
4Releases
1Bus-Faktor
0offene Issues
GoPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- 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
Weitere Details
OpenSSF Scorecard 3.2 / 10
3.2Gesamtwert
Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| k. A. | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/29 approved changesets -- score normalized to 0 |
| 0 | Contributors | project has 0 contributing companies or organizations -- score normalized to 0 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 0 | Maintained | project was created within the last 90 days. Please review its contents carefully |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | no SAST tool detected |
| 0 | Security-Policy | security policy file not detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direkte Abhängigkeiten 1
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| Go | gopkg.in/yaml.v3 | v3.0.1 | go.mod |
Alle Abhängigkeiten nicht erhoben
Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
JSON-Rohbericht maschinenlesbar
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"finops",
"gpu",
"helm",
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"linter",
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"is_fork": false,
"size_kb": 326,
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"languages": {
"Go": 136630,
"Shell": 5859,
"Makefile": 372,
"Dockerfile": 410
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"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.",
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"created_at": "2026-07-22T15:31:14Z",
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"license": {
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"file_present": true,
"scorecard_found": true,
"profile_has_license": true
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"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"
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{
"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",
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"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,
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},
{
"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…",
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{
"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,
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},
{
"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,
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},
{
"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",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "d1c38430136f90bf140d5d957e01673d4d47ab3c",
"body": "Findings carry a deterministic identity: a versioned hash of rule ID,\nobject reference, and a semantic detail key (container and resource\nnames, never positional indices). Message wording, severity, fix, and\nfile path are metadata and stay out of the hash, so the same chart\nfingerprints identically \n[…]\non 1 with a per-severity\nsummary. Empty namespaces stay empty in identities: the same Helm chart\nmust fingerprint the same regardless of install namespace.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Add JSON output with stable finding fingerprints",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-18T13:01:09Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "5c1e8c12d82327adadd82a1486743ee625ff0d6e",
"body": "Signed-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Remove CLAUDE.md from version control",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-18T13:00:49Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b582bb48ce6a99c0298f84ec00a6c326f30270cd",
"body": "Establish the vertical slice for the open-source linter: a\nmulti-document YAML parser (files, directories, stdin for piped\nhelm/kustomize output), a Rule interface, an engine, a text\nreporter, and CI-friendly exit codes (0 clean, 1 findings at or\nabove -fail-on, 2 input error).\n\nShip two rules, each\n[…]\netes\nstructs: half the target kinds are CRDs (PyTorchJob, MPIJob) that\nthe typed APIs do not cover, and this keeps gopkg.in/yaml.v3 as\nthe only dependency.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Bootstrap reap CLI with first two GPU lint rules",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-18T12:25:08Z",
"body_truncated": true,
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},
{
"oid": "45723a8a5e8b2030ddfc202ec1acaf3f10f91808",
"body": null,
"is_bot": false,
"headline": "Initial commit",
"author_name": "Dimitri",
"author_login": "emphity1",
"committed_at": "2026-07-17T23:03:59Z",
"body_truncated": false,
"is_coding_agent": false
}
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},
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}
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}
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{
"name": "Binary-Artifacts",
"score": 10,
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{
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],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
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},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"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"
],
"report_type": "repository",
"generated_at": "2026-07-26T17:28:22.830036Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/r/reap-labs/reap.svg",
"full_name": "reap-labs/reap",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.
Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — Go.