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 agentmods add agents/mdelapenya/coding-skills/copilotgit clone --depth 1 https://github.com/mdelapenya/coding-skillsWhat 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 | $0.00000 | $0.00552 |
| Opus 5 | $0.00000 | $0.00276 |
| Sonnet 5 | $0.00000 | $0.00110 |
| Haiku 4.5 | $0.00000 | $0.00055 |
Grade A, and why
copilot 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.
How it starts
The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Copilot
Topic file for running pr-reviewer from inside GitHub Copilot (CLI agent mode, IDE chat, or Copilot Workspace).
Fetch tooling
The skill drives its own fetch. Copilot can satisfy it through any of:
- Native GitHub awareness (Copilot Workspace) — confirm PR context is fully loaded; request full commit bodies if Copilot truncated them.
- GitHub MCP server — call
get_pull_request,list_pull_request_commits,get_pull_request_diff,get_pull_request_files,get_issue. - Shell with
gh(GitHub) orglab(GitLab).
For the clone step (Step 2c of the skill), shell access is required regardless — git clone is the universal path.
Looping primitive
As of writing, GitHub Copilot CLI does not have a /loop or /schedule command — a /schedule slash command is an open feature request (copilot-cli#2056). Copilot CLI does ship an autopilot mode that runs a single task autonomously through multiple steps, but autopilot is "complete one task end-to-end," not "repeat a prompt on an interval." Don't conflate them.
Until a real loop primitive ships, use one of:
- Manual re-invocation — after each round, the skill reports whether convergence was reached. If not, type
/pr-reviewer [<num>]again. - Multi-step task description (autopilot) — phrase the request as: "Run
/pr-reviewer [<num>]up to 3 times, stopping whenfindings.mdrecordsconverged: true." Copilot's autopilot will sequence the rounds itself. - External shell driver — wrap the agent invocation in a
whileloop that breaks on the convergence marker. Cap with--rounds=N.
The skill's --rounds argument is the universal safety net.
Posting the final report
If the GitHub MCP server is connected, use its review-creation resource. Otherwise:
gh pr review <pr-number> --comment --body-file <path-the-skill-printed>
Always confirm with the user before posting.
References
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.
- 2d ago First seen · 41 lines · 0 tokens per session scan A b31a6cafa604
copilot is an agent published in the GitHub repository mdelapenya/coding-skills (2 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 552 tokens. 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.
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