modelscope/ms-agent
What happens to a stranger's pull request here, in the Porchlamp snapshot of 17 October 2026.
Outside pull requests to modelscope/ms-agent got a first human reply in a median of 18.9 hours (14 pull requests, 19 April to 16 October 2026); 53% got none within 14 days. It ranks 1,989 of 3,219 overall. It is not ranked for first-time contributors: not enough evidence to show under this lens.
| Rank | 1,989 of 3,219 |
|---|---|
| Score | 47.24 |
| Tier | C |
| Median first reply | 18.9 hours |
| 14-day no-reply share | 53% |
| First-timer rank | Not enough evidence to show under this lens. |
| Ecosystem | Python |
| Window | 19 April to 16 October 2026 |
Composite
- Rank
- 1,989 of 3,219
- Score
- 47.24
- Tier
- C
- Coverage
- 81% · Ceiling A
- Quadrant
- Nursery
Coordinates: leverage 43.2 (coverage 100%), friction 42.9 (coverage 68%)
Five pillars
| Pillar | Score | Coverage |
|---|---|---|
| Responsiveness | 60.9 | 55% |
| Criticality | 18.9 | 100% |
| Governance | 76.8 | 100% |
| Rigor | 61.4 | 100% |
| Accessibility | 18.4 | 50% |
The measured parameters
Responsiveness
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| Decision Rate (90d)Share of outside pull requests that were merged or closed within 90 days. | Not shown: Insufficient sample size | ||||
| PR Ghost Rate (14d)Share of outside pull requests with no maintainer response, merge or close within 14 days. | 53.3% | 0.0 | 30 | 20 April to 17 October 2026 | primaryraw/pr_window/modelscope__ms-agent.json |
| First-timer Merge RateShare of first-time outside authors' decided pull requests that were merged. | Not shown: Insufficient sample size | ||||
| Time to First ResponseMedian hours from an outside pull request opening to its first substantive human reply. | 18.9 hours (0.8 days) | 83.6 | 14 | 19 April to 16 October 2026 | primaryraw/pr_window/modelscope__ms-agent.json |
| Time to Merge (p90)Hours within which 90% of merged outside pull requests were merged. | 71.2 hours (3 days) | 84.0 | 15 | 19 April to 16 October 2026 | primaryraw/pr_window/modelscope__ms-agent.json |
Criticality
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| DependentsPackages in the registry that depend on this project, counted once each. | 0 | 15.9 | — | — | primaryraw/dependents/modelscope__ms-agent.json |
| Monthly DownloadsDownloads from the package registry in a month. | 367 downloads a month | 7.2 | — | — | primaryraw/downloads/pypi__ms-agent.json |
| OpenSSF CriticalityOpenSSF criticality score from 0 to 1, computed from the project's public activity signals. | 0.3056 | 30.6 | — | — | primaryraw/github_meta/modelscope__ms-agent.json |
Governance
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| Elephant FactorThe fewest organisations that account for half of the last year's commits. | 4 | 100.0 | 184 | — | primaryraw/commits_365d/modelscope__ms-agent.json |
| Legal IP RegimeThe contributor licence regime: DCO, none, a foundation CLA or a corporate CLA. | No CLA or sign-off found | 85.0 | — | — | primaryraw/governance/modelscope__ms-agent.json |
| Promotion LadderHow openly a contributor can become a maintainer, from closed to verified. | No written path to becoming a maintainer | 40.0 | — | — | primaryraw/governance/modelscope__ms-agent.json |
Rigor
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| AI Policy PostureWhether the project has a written policy on AI-assisted contributions. | Written AI policy | 95.0 | — | — | primaryraw/governance/modelscope__ms-agent.json |
| Pipeline DefensesHow well the project's build and review pipeline defends against bad changes, 0 to 100. | 82.209 | 82.2 | 67 | — | proxy:review_ciraw/pr_window/modelscope__ms-agent.json |
| Substantive Review RateShare of decided pull requests that received a substantive review. | 0.0% | 0.0 | 15 | 19 April to 16 October 2026 | primaryraw/pr_window/modelscope__ms-agent.json |
Accessibility
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| Developer ExperienceDeveloper experience, 0 to 100: half CI run time, half setup signals. | 61.1667 | 61.2 | 8 | — | primaryraw/actions_runs/modelscope__ms-agent.json |
| Newcomer ConversionShare of first-time authors whose first pull request merged within 180 days. | Not shown: Insufficient sample size | ||||
| Newcomer Issue SupplyOpen, unassigned, up-to-date issues marked for newcomers. | 0 | 0.0 | — | — | primaryraw/gfi/modelscope__ms-agent.json |
| Newcomer Return RateShare of those merged first-time authors who sent a second pull request within 90 days. | Not shown: Insufficient sample size | ||||
Persona view
| Persona | Rank | Score | Tier | Status |
|---|---|---|---|---|
| Balanced | 1,989 of 3,219 | 47.24 | C | Rated |
| First-timer | Not enough evidence to show under this lens. | |||
| Career capital | This repository's production-criticality signal is not yet high enough for career-capital ranking. | |||
| Senior systems | 864 of 1,276 | 48.11 | C | Rated |
| AI-assisted | 1,763 of 3,696 | 50.78 | C | Rated |
Integrity
- Snapshot
- 2026-10-17
- Raw hash
- 51a89fbb1cc19bbfb121de70fdbd32eb22287d81920bd47c3747e8eb58e5c0cd
No suspicion flags on this repository.
The full record is in data/2026-10-17/repos/e6.json, under the key modelscope/ms-agent.
How every number is measured: Porchlamp methodology.
Open an issue about this record and say what looks wrong.
Porchlamp (2026). modelscope/ms-agent. Snapshot 2026-10-17. https://porchlamp.org/projects/modelscope/ms-agent/. CC BY 4.0.
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