microsoft/agent-governance-toolkit
What happens to a stranger's pull request here, in the Porchlamp snapshot of 14 October 2026.
Outside pull requests to agent-governance-toolkit got a first human reply in a median of 6.9 hours (445 pull requests, 11 April to 8 October 2026); 15% got none within 14 days. It ranks 872 of 3,833 overall. It is not ranked for first-time contributors: not enough evidence to show under this lens.
Rating
- Score: 59.57
- Coverage: 81% · Ceiling A
- Tier: B
- Quadrant: Sweet Spot
- Ecosystem: PyPI
Five pillars
| Pillar | Score | Coverage |
|---|---|---|
| Responsiveness | 80.9 | 55% |
| Criticality | 33.1 | 100% |
| Governance | 66.3 | 100% |
| Rigor | 79.5 | 100% |
| Accessibility | 39.5 | 50% |
Rank in each lens
| Lens | Standing |
|---|---|
| Balanced | Rank 872 of 3,833 |
| First-timer | Not ranked: Not enough evidence to show under this lens. |
| Career capital | Not ranked: This repository's production-criticality signal is not yet high enough for career-capital ranking. |
| Senior systems | Rank 447 of 1,206 |
| AI-assisted | Rank 345 of 3,929 |
The measured parameters
| Parameter | Value | Count | Window | What it measures |
|---|---|---|---|---|
| Time to First Response | 6.9378 | 445 | 11 April to 8 October 2026 | Median hours from an outside pull request opening to its first substantive human reply. |
| Decision Rate (90d) | Not shown: Insufficient sample size | — | — | Share of outside pull requests that were merged or closed within 90 days. |
| First-timer Merge Rate | Not shown: Insufficient sample size | — | — | Share of first-time outside authors' decided pull requests that were merged. |
| PR Ghost Rate (14d) | 0.1472 | 163 | 16 April to 13 October 2026 | Share of outside pull requests with no maintainer response, merge or close within 14 days. |
| Time to Merge (p90) | 367.0372 | 364 | 11 April to 8 October 2026 | Hours within which 90% of merged outside pull requests were merged. |
| Dependents | 0 | — | — | Packages in the registry that depend on this project, counted once each. |
| OpenSSF Criticality | 0.4044 | — | — | OpenSSF criticality score from 0 to 1, computed from the project's public activity signals. |
| Monthly Downloads | 125645 | — | — | Downloads from the package registry in a month. |
| Legal IP Regime | CORP_CLA | — | — | The contributor licence regime: DCO, none, a foundation CLA or a corporate CLA. |
| Elephant Factor | 6 | 443 | — | The fewest organisations that account for half of the last year's commits. |
| Promotion Ladder | DOCUMENTED | — | — | How openly a contributor can become a maintainer, from closed to verified. |
| Pipeline Defenses | 86 | — | — | How well the project's build and review pipeline defends against bad changes, 0 to 100. |
| AI Policy Posture | REGULATED | — | — | Whether the project has a written policy on AI-assisted contributions. |
| Substantive Review Rate | 0.4414 | 444 | 11 April to 8 October 2026 | Share of decided pull requests that received a substantive review. |
| Newcomer Issue Supply | 2 | — | — | Open, unassigned, up-to-date issues marked for newcomers. |
| Newcomer Conversion | Not shown: Insufficient sample size | — | — | Share of first-time authors whose first pull request merged within 180 days. |
| Newcomer Return Rate | Not shown: Insufficient sample size | — | — | Share of those merged first-time authors who sent a second pull request within 90 days. |
| Developer Experience | 85 | 5 | — | Developer experience, 0 to 100: half CI run time, half setup signals. |
Similar projects
The ranked projects nearest this one in the same ecosystem.
- huggingface/pytorch-image-models (rank 863)
- ChrisBuilds/terminaltexteffects (rank 868)
- qbittorrent/search-plugins (rank 869)
- aws/serverless-application-model (rank 871)
- qtile/qtile (rank 873)
Evidence
- Snapshot 2026-10-14, data as of 13 October 2026.
- Record hash:
1f0ced0b162ae293efddb127531286a4e17b815f6ce94e3fab7f347dece00781 - The full record is in data/2026-10-14/repos/ab.json, under the key
microsoft/agent-governance-toolkit. - How every number is measured: Porchlamp methodology.
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