openai-ads-mcp: Skill for Claude Code

.claude/skills/github-project-triage/SKILL.md

github-project-triage is a skill for Claude Code from adityash8/openai-ads-mcp. It costs 84 tokens per session (962 once invoked), scanned A, original, MIT.

A workflow for reviewing open GitHub issues and pull requests and sorting them into actionable categories for maintainers.

In plain words
What is it for?
Use it to inspect a repository’s issues and pull requests, capture item summaries and impact, and classify each item as autonomous, needing an owner, or deferred.
Why use it?
It turns an open queue into concise decisions by considering status, discussions, labels, reviewers, and continuous-integration results.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is adityash8/openai-ads-mcp's own configuration. It tells Claude Code how to work on openai-ads-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything openai-ads-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to adityash8/openai-ads-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/adityash8/openai-ads-mcp/main/.claude/skills/github-project-triage/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/adityash8/openai-ads-mcp

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 962 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00084 $0.00962
Opus 5 $0.00042 $0.00481
Sonnet 5 $0.00017 $0.00192
Haiku 4.5 $0.00008 $0.00096

Measured 8d ago against content hash 60309844593f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

github-project-triage 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 8d 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.

.claude/skills/github-project-triage/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Project Triage

Turn an open queue into decisions. Triage produces item cards a maintainer can act on, then sorts them so the orchestrator knows what to do.

Scope

  • If invoked inside a Git repo with a GitHub remote (or a Routine cloned a specific repo), triage only that repo.
  • Only broaden to multiple repos / the whole ITSEZMONEY org when the prompt explicitly says all, broad, org-wide, or everything.

Discover the queue

Use the GitHub MCP connector (preferred) or gh:

  • Open PRs (with CI status, requested reviewers, draft state, mergeability).
  • Open issues (with labels, age, last activity).
  • For each, the last few comments and the CI job summary.

There is no repobar dependency — query GitHub directly. Batch reads where the connector allows it; don't fetch full logs until an item needs them.

Item card

For every open issue/PR, produce:

Field What to capture
URL / # Direct link.
What One line: what this issue/PR is.
Why it matters Impact / who it affects.
Author trust Per the auto-merge allowlist: adityash8 = trusted; everyone else — other org members, returning/first-time/external contributors, forks, and bots (Dependabot/Renovate) — = untrusted. State the factual signal, not a vibe.
Type bug · feature · dependency · security · docs · chore
Fit good / mixed / poor + one-line reason (does it match the product?).
Risk low / medium / high + blast radius (what breaks if wrong).
Proof CI state · local repro · test coverage · manual/E2E validation.
Blockers Missing repro, failing CI, needs decision, needs creds, merge conflict.
Next action The single concrete next step.

Trust here is an explicit allowlist for auto-merge, not a vibe: only adityash8 is trusted. Untrusted authorship doesn't mean a bad patch — it means the item cannot auto-merge and routes to needs-owner (draft PR), even with green CI. The sole exception is a bot dependency bump, which may auto-merge if it meets every low-risk gate. Trust never substitutes for green CI and a sane diff; cite factual signals (account, prior merged PRs) when noting it.

Read the full file on GitHub · 82 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. 8d ago First seen · 82 lines · 84 tokens per session scan A 60309844593f

Subscribe to this mod's changes

github-project-triage is a skill published in the GitHub repository adityash8/openai-ads-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 84 tokens to every session and 962 once invoked, about $0.0004 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 2026-08-31.