Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Community-Access/accessibility-agents --skill kb-github-analytics-scoringgit clone --depth 1 https://github.com/Community-Access/accessibility-agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/community-access/accessibility-agents/kb-github-analytics-scoring)<a href="https://agentmods.dev/skills/community-access/accessibility-agents/kb-github-analytics-scoring"><img src="https://agentmods.dev/badge/skills/community-access/accessibility-agents/kb-github-analytics-scoring/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/community-access/accessibility-agents/kb-github-analytics-scoring"><img src="https://agentmods.dev/badge/skills/community-access/accessibility-agents/kb-github-analytics-scoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.02377 |
| Opus 5.5 | $0.00018 | $0.00951 |
| Sonnet 5.5 | $0.00009 | $0.00475 |
| Haiku 4.5 | $0.00005 | $0.00238 |
Grade A, and why
kb-github-analytics-scoring scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Analytics Scoring
Repository Health Score
Health Score = 100 - (sum of weighted penalties)
Penalties - CI & Reliability:
Failing workflow, high confidence: -10 points
Flaky test (3+ failures/week): - 5 points
No CI configured: - 8 points
Penalties - Issues & PRs:
Critical unresolved bug (P0): -10 points
Security alert (critical severity): -10 points
Security alert (high severity): - 5 points
PR open >14 days (stale): - 3 points each (max -9)
Issue @mentioned, no response >7 days: - 5 points each (max -10)
>10 open issues with no labels/triage: - 3 points
Penalties - Community Health:
No CONTRIBUTING.md: - 5 points
No CODE_OF_CONDUCT.md: - 3 points
No branch protection on main: - 5 points
0 open "good first issue" labels: - 2 points
Floor: 0 (minimum score)
Score Grades
Each score, with its grade and meaning.
| Score | Grade | Meaning |
|---|---|---|
| 90-100 | A | Excellent - healthy repo, minimal issues |
| 75-89 | B | Good - minor issues, well-managed |
| 50-74 | C | Needs attention - multiple signals requiring action |
| 25-49 | D | Poor - significant problems impacting velocity |
| 0-24 | F | Critical - major issues blocking team progress |
Priority Scoring for Issues
Internally score each issue to determine sort order in dashboards and reports:
| Signal | Points |
|---|---|
| User @mentioned and hasn't responded | +5 |
P0, P1, critical, urgent, blocker label |
+3 |
| Tied to upcoming release milestone | +3 |
| New comments from others since user's last activity | +2 |
| High community interest (5+ positive reactions) | +2 |
bug label |
+1 |
| Assigned to user | +1 |
| Active related discussion thread | +1 |
wontfix, duplicate, question label |
-1 |
| No activity >14 days | -2 |
Priority Scoring for Pull Requests
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 267 lines · 45 tokens per session scan A 73c84902e39d
kb-github-analytics-scoring is a skill published in the GitHub repository Community-Access/accessibility-agents (429 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 2,377 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-23.
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