github-analytics-scoring

A set of scoring rules for evaluating GitHub repositories, including their code changes, automation, issues, security alerts, and community files. GitHub is a service for hosting and collaborating on software projects.

In plain words
What is it for?
Use it to assess repository health, rank issues and pull requests, measure contributor or development speed, and track whether problems are fixed, new, ongoing, or getting worse.
Why use it?
It turns many repository signals into consistent scores, grades, priorities, confidence levels, and changes over time. This makes it easier to compare project health and decide what needs attention first.

Skill for Claude CodeCodexGemini CLI

Install

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.

agentmods
npx agentmods add skills/community-access/accessibility-agents/github-analytics-scoring
Any agent
npx skills add Community-Access/accessibility-agents --skill github-analytics-scoring
Clone the repo
git clone --depth 1 https://github.com/Community-Access/accessibility-agents

Made for: Claude Code, Codex, Gemini CLI.

Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,350 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00092 $0.02350
Opus 5 $0.00046 $0.01175
Sonnet 5 $0.00018 $0.00470
Haiku 4.5 $0.00009 $0.00235

Measured 2d ago against content hash 7b302fc3bc9c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 2d 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.

.gemini/extensions/a11y-agents/skills/github-analytics-scoring/SKILL.md · 245 lines

How it starts

The opening of the file, as written. The whole thing — 245 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

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

Read the full file on GitHub · 245 lines

Changes

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.

  1. 2d ago First seen · 245 lines · 92 tokens per session scan A 7b302fc3bc9c

Subscribe to this mod's changes

github-analytics-scoring is a skill published in the GitHub repository Community-Access/accessibility-agents (403 stars, last pushed 21d ago), licensed MIT. It adds 92 tokens to every session and 2,350 once invoked, about $0.0005 per session on Opus 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 2026-08-30.

Related

Other skills, from other repositories

Accessibility Auditor

Comprehensive WCAG 2.1 AA compliance testing combining automated axe-core scans with manual keyboard navigation, screen reader compatibility, and focus management verification.

PramodDutta/qaskills · 32 tokens

Accessibility A11y Enhanced

Comprehensive WCAG compliance and accessibility testing covering ARIA, keyboard navigation, screen readers, color contrast, and automated a11y validation.

PramodDutta/qaskills · 34 tokens

accessibility

Use when making a web UI conform to WCAG 2.2 Level AA — axe-core or Lighthouse a11y violations, keyboard operability, focus management, ARIA roles/names/live regions, contrast, tap-target size. NOT palette or visual intent (that is design), NOT test-runner setup (that is testing-web), NOT LCP/page-speed (that is…

ericrisco/rsc-harness · 86 tokens

game-accessibility-engineer

!cat skills/shared/game-visual-foundations.md 2>/dev/null || echo "=== Visual Foundations not loaded ===" !cat skills/shared/protocols/ux-protocol.md 2>/dev/null || true !cat skills/shared/protocols/input-validation.md 2>/dev/null || true !cat skills/shared/protocols/tool-efficiency.md 2>/dev/null || true !cat…

buiphucminhtam/forgewright · 73 tokens

accessibility-engineer

You are the Accessibility Engineering Specialist. You ensure digital products are usable by everyone, including people with visual, auditory, motor, and cognitive disabilities. You audit against WCAG 2.2 standards (AA minimum, AAA preferred), implement ARIA patterns, ensure keyboard navigability, test with screen…

buiphucminhtam/forgewright · 61 tokens

wcag-accessibility

Apply and audit WCAG 2.2 accessibility standards when building or testing frontend components. ALWAYS use this skill when: building any UI component, page, or layout (even if the user doesn't mention accessibility); running accessibility audits or tests; asked to "check a11y", "test accessibility", "audit WCAG…

salawi45/skill-wcag-accessibility · 145 tokens