Public recordGood
Software health reportschema 0.27.0 · metrics 2.2.0 · 2026-08-02 10:55 UTC
MattJColes / lgtmaybe
any model. no keys. maybe a merge.
MattJColes/lgtmaybe holds a health index of 65 out of 100, placing it in the Good band. It scores highest on Vitality (72/100) and lowest on Security (37/100). It was last updated today. A single contributor accounts for most of its recent work.
65
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.
65
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
Score profile
Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.
The weighted overall 60 is calibrated to 65 on the published index scale (record calibration 2026-08-02).
Ownership
Matt ColesPersonal account
183 followers21 public repossince Sep 2011
This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish |
|---|---|---|---|---|---|
| PyPI | lgtmaybe | 1.12.0 | - | 63 | 0 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
72
Development activity
60Moderate
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 6.2/36 | Commit cadence — 9/52 weeks with commits |
| 18/18 | Commit volume — 467 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully |
Inputs used
| commits_last_year | 467 |
| human_commit_share | 0.79 |
| days_since_last_push | 0 |
| active_weeks_last_year | 9 |
Release discipline
90Excellent
How it's scored
| 27/27 | Ships releases — 63 releases published |
| 36/36 | Release recency — latest release 0 days ago |
| 27/27 | Release cadence — a release every ~0.8 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Inputs used
| releases_count | 63 |
| latest_release_tag | lgtmaybe-v1.12.0 |
| releases_from_tags | no |
| days_since_latest_release | 0 |
| mean_days_between_releases | 0.8 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
53
Popularity & adoption
39Weak
How it's scored
| 39/60 | Stars — 256 stars |
| 0/25 | Forks — 0 forks |
| 0/15 | Watchers — 0 watchers |
Inputs used
| forks | 0 |
| stars | 256 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
70Good
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 18/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| readme_badges | — |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | no |
| readme_badge_services | — |
| has_pull_request_template | no |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
61
Maintainer resilience (bus factor)
18Critical
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 3.1/22.5 | Commit distribution — top contributor authored 86% of commits |
| 2.7/13.5 | Contributor breadth — 2 contributors |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 2 |
| top_contributor_share | 0.864 |
Issue & PR responsiveness
81Excellent
How it's scored
| 42/42 | Issue resolution — 100% of issues closed |
| 28.9/30 | PR acceptance — 310/322 decided PRs merged |
| 0/13 | Newcomer PR acceptance — no first-time contributor's PR decided in 30d |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/23 approved changesets -- score normalized to 0 |
Inputs used
| merged_prs | 310 |
| open_issues | 0 |
| closed_issues | 2 |
| prs_merged_7d | — |
| prs_decided_7d | — |
| prs_merged_30d | — |
| prs_decided_30d | — |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 12 |
| first_time_authors_30d | — |
| first_time_prs_merged_30d | — |
| first_time_prs_decided_30d | — |
Excluded from scoring (no data or not applicable): newcomer_pr_acceptance. Remaining weights renormalized.
Ownership & stewardship
60Moderate
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 16.3/25 | Owner reach — 183 followers of MattJColes |
| 21.8/25 | Track record — 21 public repos, account ~14 yr old |
Inputs used
| followers | 183 |
| owner_type | User |
| is_verified | — |
| owner_login | MattJColes |
| public_repos | 21 |
| account_age_days | 5,446 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Package maintenance
100Exceptional
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 0 days ago |
| 20/20 | Version history — 63 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | lgtmaybe |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Engineering Quality
Are baseline engineering and documentation practices in place?
70
Engineering practices
66Good
How it's scored
| 24/24 | CI workflows — 15 workflow(s) |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 18/20 | OpenSSF Scorecard: CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentation
75Good
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 0/10 | Topics |
| 10/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | yes |
| homepage | — |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
37
Security posture
37Weak
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 2.2/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.2/2.5 | CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/23 approved changesets -- score normalized to 0 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — 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 — SAST tool is not run on all commits -- score normalized to 0 |
| 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 |
| 1.5/7.5 | Vulnerabilities — 8 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 18 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 0 |
| scorecard_aggregate | 3.7 |
AI Readiness
How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.
71
Agent context & guidance
100Exceptional
How it's scored
| 45/45 | Agent instructions — CLAUDE.md |
| 15/15 | Machine-readable docs (llms.txt) — llms.txt present |
| 40/40 | Legible commit history — 79 of 79 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | yes |
| legible_history_share | 1 |
| agent_instruction_files | CLAUDE.md |
| agent_instruction_max_bytes | 43,422 |
Verify loop (build / test / typecheck)
58Moderate
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 11/11 | Static type checking — src/lgtmaybe/py.typed |
| 10/10 | Reproducible environment — Dockerfile, lockfile |
| 10/10 | Demonstrated agent practice — 35 of the last 100 commits agent-authored or agent-credited |
| 5/8 | Automated maintenance — dependency automation configured, none observed in the sampled commits |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | uv.lock |
| has_dockerfile | yes |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | src/lgtmaybe/py.typed |
| agent_commit_share | 0.35 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Code legibility for models
81Excellent
How it's scored
| 27/45 | Type-checkable code — Python with type-check config (src/lgtmaybe/py.typed) |
| 53.8/55 | Manageable file sizes — 4/190 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 88,463 |
| source_files_sampled | 190 |
| oversized_source_files | 4 |
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples |
Inputs used
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
256GitHub stars
2contributors
467commits, last 12 months
0days since last push
63releases
1bus factor
0open issues
PyPIpackage ecosystems
Data collection warnings
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
- deps.dev does not index pypi:lgtmaybe@1.12.0; advisories assessed against the repository dependency graph instead
More detail
OpenSSF Scorecard 3.7 / 10
3.7aggregate
Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 3 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 9 | CI-Tests | 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/23 approved changesets -- score normalized to 0 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | 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 | SAST tool is not run on all commits -- score normalized to 0 |
| 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 |
| 2 | Vulnerabilities | 8 existing vulnerabilities detected |
Direct dependencies 8
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | ast-grep-cli | >=0.44.0 | pyproject.toml |
| PyPI | click | >=8.4.1 | pyproject.toml |
| PyPI | httpx | >=0.28.1 | pyproject.toml |
| PyPI | litellm | >=1.87.1 | pyproject.toml |
| PyPI | litellm | >=1.87.1,<1.94 | pyproject.toml |
| PyPI | pydantic | >=2.7 | pyproject.toml |
| PyPI | pyyaml | >=6.0.3 | pyproject.toml |
| PyPI | tenacity | >=9.1.4 | pyproject.toml |
All dependencies not collected
The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Raw JSON report machine-readable
{
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"pushed_at": "2026-08-02T10:53:52Z",
"created_at": "2026-06-06T20:17:12Z",
"owner_type": "User",
"updated_at": "2026-08-02T10:53:40Z",
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{
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{
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{
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{
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"published_at": "2026-07-26T14:17:50Z"
},
{
"tag": "lgtmaybe-v1.6.0",
"kind": "other",
"published_at": "2026-07-26T10:17:42Z"
},
{
"tag": "lgtmaybe-v1.5.5",
"kind": "other",
"published_at": "2026-07-25T14:49:02Z"
},
{
"tag": "lgtmaybe-v1.5.4",
"kind": "other",
"published_at": "2026-07-25T14:42:52Z"
},
{
"tag": "lgtmaybe-v1.5.3",
"kind": "other",
"published_at": "2026-07-25T10:30:47Z"
},
{
"tag": "lgtmaybe-v1.5.2",
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"published_at": "2026-07-25T09:02:59Z"
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{
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"published_at": "2026-07-25T08:36:39Z"
},
{
"tag": "lgtmaybe-v1.5.0",
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"published_at": "2026-07-25T08:32:05Z"
},
{
"tag": "lgtmaybe-v1.4.1",
"kind": "other",
"published_at": "2026-07-25T06:23:58Z"
},
{
"tag": "lgtmaybe-v1.4.0",
"kind": "other",
"published_at": "2026-07-25T06:08:30Z"
},
{
"tag": "lgtmaybe-v1.3.0",
"kind": "other",
"published_at": "2026-07-25T04:32:58Z"
},
{
"tag": "lgtmaybe-v1.2.0",
"kind": "other",
"published_at": "2026-07-25T02:35:32Z"
},
{
"tag": "lgtmaybe-v1.1.0",
"kind": "other",
"published_at": "2026-07-24T10:20:10Z"
},
{
"tag": "lgtmaybe-v1.0.0",
"kind": "other",
"published_at": "2026-07-24T07:04:13Z"
},
{
"tag": "lgtmaybe-v0.13.1",
"kind": "other",
"published_at": "2026-07-24T06:14:52Z"
},
{
"tag": "lgtmaybe-v0.13.0",
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},
{
"tag": "lgtmaybe-v0.12.2",
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"published_at": "2026-07-23T08:49:54Z"
},
{
"tag": "lgtmaybe-v0.12.1",
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"published_at": "2026-07-17T08:50:31Z"
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{
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{
"tag": "lgtmaybe-v0.11.0",
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},
{
"tag": "lgtmaybe-v0.10.0",
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"published_at": "2026-07-06T01:32:24Z"
},
{
"tag": "lgtmaybe-v0.9.2",
"kind": "other",
"published_at": "2026-07-01T08:17:43Z"
},
{
"tag": "lgtmaybe-v0.9.1",
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"published_at": "2026-07-01T00:41:12Z"
},
{
"tag": "lgtmaybe-v0.9.0",
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"published_at": "2026-06-30T14:04:18Z"
},
{
"tag": "lgtmaybe-v0.8.2",
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"published_at": "2026-06-30T10:42:34Z"
},
{
"tag": "lgtmaybe-v0.8.1",
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"published_at": "2026-06-30T10:26:45Z"
},
{
"tag": "lgtmaybe-v0.8.0",
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"published_at": "2026-06-30T09:02:27Z"
},
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},
{
"tag": "lgtmaybe-v0.6.1",
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},
{
"tag": "lgtmaybe-v0.6.0",
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},
{
"tag": "lgtmaybe-v0.5.0",
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},
{
"tag": "lgtmaybe-v0.4.1",
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},
{
"tag": "lgtmaybe-v0.4.0",
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"published_at": "2026-06-22T16:12:13Z"
},
{
"tag": "lgtmaybe-v0.3.3",
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"published_at": "2026-06-19T05:56:05Z"
},
{
"tag": "lgtmaybe-v0.3.2",
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"published_at": "2026-06-19T04:36:49Z"
},
{
"tag": "lgtmaybe-v0.3.1",
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"published_at": "2026-06-17T14:59:56Z"
},
{
"tag": "lgtmaybe-v0.3.0",
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"published_at": "2026-06-17T13:18:46Z"
},
{
"tag": "lgtmaybe-v0.2.1",
"kind": "other",
"published_at": "2026-06-16T12:04:24Z"
},
{
"tag": "lgtmaybe-v0.2.0",
"kind": "other",
"published_at": "2026-06-16T08:22:16Z"
},
{
"tag": "lgtmaybe-v0.1.11",
"kind": "other",
"published_at": "2026-06-16T00:28:38Z"
},
{
"tag": "lgtmaybe-v0.1.10",
"kind": "other",
"published_at": "2026-06-15T22:06:05Z"
},
{
"tag": "lgtmaybe-v0.1.9",
"kind": "other",
"published_at": "2026-06-15T21:58:02Z"
},
{
"tag": "lgtmaybe-v0.1.8",
"kind": "other",
"published_at": "2026-06-15T21:40:10Z"
},
{
"tag": "lgtmaybe-v0.1.7",
"kind": "other",
"published_at": "2026-06-15T13:40:41Z"
},
{
"tag": "lgtmaybe-v0.1.6",
"kind": "other",
"published_at": "2026-06-14T12:08:53Z"
},
{
"tag": "lgtmaybe-v0.1.5",
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"published_at": "2026-06-14T11:46:33Z"
},
{
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},
{
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},
{
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},
{
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},
{
"tag": "lgtmaybe-v0.1.0",
"kind": "other",
"published_at": "2026-06-07T11:41:19Z"
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"body": "…317)\n\n`lgtmaybe diagram` echoes the body the /diagram comment carries, which tucks\neach text rendering in a <details> block so GitHub can collapse it. A terminal\nrenders no HTML, so it printed the raw tags around the very text that exists\nfor readers without a renderer — and the sequence view made \n[…]\nent or mermaid.live, so dropping them would cost more than the noise\nit saved.\n\n\nClaude-Session: https://claude.ai/code/session_01GqEHe6mG3TVPMBvjxhZzF9\n\nCo-authored-by: Claude <noreply@anthropic.com>",
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"body": "The shared review rules tell every lens the diff is only a slice of the\ncodebase, so a claim resting on unshown code must be hedged or omitted.\nThat protects precision and throws recall away: a bug whose evidence sits\none file over is never reported. Reflection's retrieval cannot recover it\neither —\n[…]\npython -m evals.run --mid-review-retrieval` are how that gets measured.\n\n\nClaude-Session: https://claude.ai/code/session_01GqEHe6mG3TVPMBvjxhZzF9\n\nCo-authored-by: Claude Opus 5 <noreply@anthropic.com>",
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"body": "The engine already stamps the originating lens on every finding and the\nreflection auditor already scores it 0-10, but both were only ever visible\nin the local CLI — the GitHub comment, where most reviews are actually\nread, showed only `**[SEVERITY] Title**`.\n\nRender them inside the existing severit\n[…]\ned still dedupes\nand there is no re-post storm on the first run after upgrade.\n\n\nClaude-Session: https://claude.ai/code/session_01GqEHe6mG3TVPMBvjxhZzF9\n\nCo-authored-by: Claude <noreply@anthropic.com>",
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"body": "An unlabelled step renders an em-dash in the Mermaid line (Mermaid needs a\nmessage after the colon) and drops the suffix in the text view. Neither branch\nwas covered, so a regression to a bare trailing colon would have shipped.\n\nAlso caps the dogfood workflow's input budget: deepseek-v4-flash has a \n[…]\n on a blown ceiling, as it\nalready does on a wall timeout) follows separately.\n\n\nClaude-Session: https://claude.ai/code/session_01GqEHe6mG3TVPMBvjxhZzF9\n\nCo-authored-by: Claude <noreply@anthropic.com>",
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"body": "The flowchart answers \"what does this change touch\"; most pull requests are\nbehavioural, where the question a reviewer actually has is \"what happens, in\nwhat order, and where did that change\". The same structured diagram call now\nalso returns ordered run-time steps, and lgtmaybe renders them as a Me\n[…]\ncal spec updated; the how-to now\n explains which view answers which question.\n\n\nClaude-Session: https://claude.ai/code/session_01GqEHe6mG3TVPMBvjxhZzF9\n\nCo-authored-by: Claude <noreply@anthropic.com>",
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"body": "A correctness lens once ran to this model's full 65,536-token output ceiling\nand came back cut off mid-JSON: 21 minutes and 65k tokens for a single lens,\nagainst ~5.5k for the other three combined. #305 and #306 made that legible —\nit names itself, and the findings it finished emitting survive — but\n[…]\nvider-threading\nfixture that isolates the whole module, not just the one test.\n\n\nClaude-Session: https://claude.ai/code/session_01DRfWx5iwAfXEnsPDS9NW1y\n\nCo-authored-by: Claude <noreply@anthropic.com>",
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"body": "…(#306)\n\n* fix(parse): keep the findings a truncated response finished emitting\n\nA lens cut off at its output ceiling has usually already produced real\nfindings — generated, billed, and schema-valid. Dropping them threw away\nsignal the run had paid for.\n\nInvestigating turned up something worse than \n[…]\nls both cases.\n\nCo-Authored-By: Claude Opus 5 <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01DRfWx5iwAfXEnsPDS9NW1y\n\n---------\n\nCo-authored-by: Claude <noreply@anthropic.com>",
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"body": "A local review now prints its billable token total to stderr by default,\nrather than only under --profile. stderr keeps --json/--agent output pipeable;\nthe line is suppressed under --profile (whose table already ends with it) and\nomitted entirely for a run that made no model calls or that failed. On\n[…]\nosts ~41% over no context but only ~17%\nbetween 5 and the default 20, because overlapping hunk windows merge and the\nenclosing-definition reach does the useful widening either way. The default\nstands.",
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"body": "Adds the spend-shaped twin of the max_review_seconds deadline. Once a run's\nbillable tokens (input + output across the lens fan-out, triage and reflection)\nreach the ceiling, no further model calls are dispatched: in-flight calls\nfinish, their findings post, and the summary carries a notice naming t\n[…]\nlens count and batch count, so any\ngenerous default that protects a small repo would silently truncate a large\none's review. Measurement is what ships on — --profile now prints a billable\ntoken total.",
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"body": "* chore(main): release lgtmaybe 1.8.1\n\n* style: apply ruff lint and format fixes\n\n---------\n\nCo-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>",
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"headline": "chore(main): release lgtmaybe 1.8.1 (#292)",
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"oid": "f4c3bdd279e6022c42a70328d94dd932fe16509d",
"body": "…ot mint it (#296)\n\nReplying to a lgtmaybe review comment failed the whole review job:\n\n The lgtmaybe identity exchange must run from the repository's\n default branch.\n\n`pull_request_review_comment` is in the broker's ALLOWED_EVENTS, in the\nworkflow's triggers, and in the post-as-a-GitHub-App \n[…]\nme this one exception, rather than\nleft as a claim the code no longer honours.\n\n\nClaude-Session: https://claude.ai/code/session_01LqYf2v9WEBxHRoEruQWBUe\n\nCo-authored-by: Claude <noreply@anthropic.com>",
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"headline": "fix(identity): stop asking for branded identity on an event that cann…",
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"committed_at": "2026-07-27T17:05:37Z",
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"oid": "eb586f15752be418672ebef868c12d41b3bcb373",
"body": "…pad (#295)\n\nThe enclosing-definition pad could reach 120 lines above a hunk — six times\n`_MAX_CONTEXT_LINES`, the ceiling on the fixed pad it is meant to widen.\n\nThe reach exists so a hunk deep inside a function still sees the signature that\nexplains it. But it reproduces every intervening line, no\n[…]\n a\ndefinition that genuinely encloses them and sits well inside the new reach.\n\n\nClaude-Session: https://claude.ai/code/session_01LqYf2v9WEBxHRoEruQWBUe\n\nCo-authored-by: Claude <noreply@anthropic.com>",
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"headline": "perf(context): size the enclosing-definition reach against the fixed …",
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"body": "…#294)\n\ndefinition_starts threw ast-grep's range.end away, so _enclosing_boundary\ntreated the nearest definition start above a hunk as enclosing it even when\nthat definition had already closed. Module-level code below a function —\nconstants, config tables, registries — was padded back into an unrela\n[…]\ned to clear the previous group instead of overlapping it.\nFound by fuzzing (217/4000 cases), now zero.\n\nRoughly token-neutral (-1.7% across seven commits) — a correctness fix, not a\ncost optimisation.",
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"headline": "fix(context): only pad to a definition that still contains the hunk (…",
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"body": "redact() rewrites every matched secret to [REDACTED] before the diff leaves,\nand the security lens then said \"even if they look redacted, flag the\npractice\" — instructing the model to raise a finding on the reviewer's own\nredaction output.\n\nThe shared rules now name the marker so no lens reports it \n[…]\nens drops the bullet, since gitleaks reads the unredacted text and\nanswers what the lens was prevented from seeing. Secrets reaching a log stay\nwith the model, as does the rest of the OWASP checklist.",
"is_bot": false,
"headline": "fix(prompt): stop asking lenses to flag our own redaction marker (#293)",
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"author_login": "MattJColes",
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"oid": "1a9f0f03d023c5e0a8e79515f088c57e6e6a6feb",
"body": "Six bugs found by driving the real CLI through ten scenarios of rising\ncomplexity against a stub provider, each one living in a seam between modules\nthat had passing unit tests of their own.\n\n- hardening: the reflection audit received the diff and grounding head text\n un-neutralised and with no unt\n[…]\nackage at 1.7.0.\n\nAdds tests/e2e/test_cli_scenarios.py and a stub provider so the ten scenarios\nare reproducible: hermetic, no model or network needed, and verified to go red\nagainst the pre-fix code.",
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"headline": "fix: bugs found driving the CLI end-to-end across 10 scenarios (#291)",
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"key": "repository_description",
"name": "Repository description",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "weak",
"name": "Security",
"value": 37,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "weak",
"name": "Security posture",
"note": null,
"notes": [],
"value": 37,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 18,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 0,
"scorecard_aggregate": 3.7
},
"components": [
{
"key": "binary_artifacts",
"name": "Binary-Artifacts",
"detail": "no binaries found in the repo",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "branch protection is not maximal on development and all release branches",
"points": 2.2,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "29 out of 30 merged PRs checked by a CI test -- score normalized to 9",
"points": 2.2,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"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",
"name": "Code-Review",
"detail": "Found 0/23 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 1 contributing companies or organizations -- score normalized to 3",
"points": 0.8,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "project was created within the last 90 days. Please review its contents carefully",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow detected",
"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",
"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "Project has not signed or included provenance with any releases.",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "8 existing vulnerabilities detected",
"points": 1.5,
"status": "partial",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "exceptional",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"commit_weight_rule": {
"min_commits": 50,
"min_commit_share": 0.1
},
"review_only_matches": 0,
"below_threshold_exposures": [],
"assessed_self_published_locations": 2
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "good",
"name": "AI Readiness",
"value": 71,
"weight": 0.04,
"metrics": [
{
"key": "ai_agent_context",
"band": "exceptional",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"has_llms_txt": true,
"legible_history_share": 1,
"agent_instruction_files": [
"CLAUDE.md"
],
"agent_instruction_max_bytes": 43422
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "CLAUDE.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "CLAUDE.md"
}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": "llms.txt present",
"points": 15,
"status": "met",
"details": [
{
"code": "llms_txt_present",
"params": {}
}
],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "79 of 79 human commits state their intent (structured subject or explanatory body)",
"points": 40,
"status": "met",
"details": [
{
"code": "legible_history",
"params": {
"legible": 79,
"sampled": 79
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "moderate",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 58,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": true,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": false,
"typecheck_configs": [
"src/lgtmaybe/py.typed"
],
"agent_commit_share": 0.35,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "src/lgtmaybe/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "src/lgtmaybe/py.typed"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "Dockerfile, lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Dockerfile, lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "35 of the last 100 commits agent-authored or agent-credited",
"points": 10,
"status": "met",
"details": [
{
"code": "agent_authored_commits",
"params": {
"count": 35,
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "excellent",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 81,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 88463,
"source_files_sampled": 190,
"oversized_source_files": 4
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (src/lgtmaybe/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "src/lgtmaybe/py.typed",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "4/190 source files over 60KB",
"points": 53.8,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 190,
"oversized": 4
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "weak",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples"
}
}
],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
}
],
"metrics_version": "2.2.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository",
"deps.dev does not index pypi:lgtmaybe@1.12.0; advisories assessed against the repository dependency graph instead"
],
"report_type": "repository",
"generated_at": "2026-08-02T10:55:37.656850Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/MattJColes/lgtmaybe.svg",
"full_name": "MattJColes/lgtmaybe",
"license_state": "standard",
"license_spdx": "MIT"
}Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.
Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.2.0, schema v0.27.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.