Install
$ agentstack add skill-fdiblen-rseng-agent-skills-rseng-community-metrics ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Community health metrics
A community's health can be measured, and the CHAOSS project has standardized how: metrics for growth, responsiveness, retention and risk that turn "the community feels quiet lately" into checkable numbers. The same discipline as rseng-software-metrics applies unchanged: metrics LOCATE community problems, humans judge them; trends beat snapshots; and every metric can be gamed, so keep them plural and tie them to actions.
The metrics that matter, and their sources
Nearly everything comes from data the forge already has - git history, issues, PRs, reviews - all computable by an agent:
- Growth and activity: new contributors per period, active
contributors (authored, reviewed, triaged or commented - count ALL contribution kinds, the rseng-citation-metadata lesson), contribution volume by type.
- Responsiveness: time to first response on issues and PRs
(the promise rseng-community-governance made checkable), review latency, time to merge or close. First-response time is the single best predictor of whether a first-time contributor returns.
- Retention and the funnel: how many first-time contributors make
a second contribution (the conversion rate), casual-to-regular progression, time since last activity for previously regular contributors (quiet departures are findable before they are final).
- Risk: bus factor (what fraction of recent work concentrates in
how few people - the elephant-factor framing), single-maintainer subsystems, organizational concentration when affiliation is known.
Compute from git log, the forge API and the tracker; CHAOSS tooling (Augur/GrimoireLab-class) automates it at scale, but a scripted quarterly pass covers most research projects (a natural milestone-review input - rseng-code-review).
Interpreting honestly
- Stage calibrates everything (rseng-quality-framework's tiering
instinct): a two-person analysis-code repo with bus factor 1 is normal; infrastructure with bus factor 1 is a risk register entry. Compare the project against its own history first, peers second, absolutes never.
- Watch trends, alert on inflections: slowly rising first-response
time is load or fading attention - both actionable; a cliff after a maintainer change is a succession problem (rseng-community-governance).
- Name the denominator: "12 new contributors" means nothing
without the period and the definition; publish definitions with numbers so the metric survives scrutiny (rseng-research-integrity's spirit applied to community claims).
- Diversity and affiliation metrics involve personal data: use
public information, aggregate, and route anything finer to policy (rseng-regulatory-compliance).
From numbers to actions
Every reported metric ends with a routing, or it is a vanity dashboard:
- Slow first response -> triage rotation and a stated timeframe
(rseng-community-governance, rseng-project-tracking).
- Poor first-to-second contributor conversion -> onboarding fixes
(rseng-contributor-onboarding owns the funnel).
- Support load rising in issues -> FAQ and docs routing
(rseng-user-support, rseng-documentation).
- Bus factor concentration -> knowledge spreading: rotation,
documentation, succession planning (rseng-maintenance-sustainability).
- Good numbers -> tell the community; measured health is a
celebration and a grant-report asset (rseng-science-communication, rseng-management-planning).
Report metrics to the community transparently on a cadence - a short health section in the periodic digest (rseng-project-tracking's high-level log) normalizes measurement and builds trust; surprise metrics deployed in conflict destroy it.
Working with this skill
This skill is source-independent: its authority is the CHAOSS metrics definitions and community-health practice linked below. It is the measurement arm of rseng-community-governance, the community analogue of rseng-software-metrics.
Learn more (verified):
- https://chaoss.community - CHAOSS community health metrics
- https://www.cscce.org - Center for Scientific Collaboration
and Community Engagement
- https://opensource.guide - open source guides (community
sections)
Related skills
Check whether any of these applies before moving on:
- rseng-community-governance - metrics route to governance actions
- rseng-contributor-onboarding - fixes the funnel leaks found
- rseng-maintenance-sustainability - bus-factor risk response
- rseng-management-planning - grant reports need community evidence
- rseng-software-metrics - same measurement discipline, code side
- rseng-user-support - support load is a signal
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: fdiblen
- Source: fdiblen/rseng-agent-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.