APM is a package manager for AI-agent configuration, using a manifest to declare reusable instructions, skills, prompts, agents, hooks, plugins, and MCP components. Development teams use it to reproduce agent setups across projects and control their dependencies through policies and lockfiles, while the catalogue contains many of these agent components.
Borrowing it
Nothing to install: this file belongs to microsoft/apm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/microsoft/apm/main/.agents/skills/pr-description-skill/SKILL.mdgit clone --depth 1 https://github.com/microsoft/apmWrote 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/microsoft/apm/pr-description-skill)<a href="https://agentmods.dev/skills/microsoft/apm/pr-description-skill"><img src="https://agentmods.dev/badge/skills/microsoft/apm/pr-description-skill/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/microsoft/apm/pr-description-skill"><img src="https://agentmods.dev/badge/skills/microsoft/apm/pr-description-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 258 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 261 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00131 | $0.04074 |
| Opus 5.5 | $0.00052 | $0.01630 |
| Sonnet 5.5 | $0.00026 | $0.00815 |
| Haiku 4.5 | $0.00013 | $0.00407 |
Grade A, and why
pr-description-skill 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 — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR Description Skill -- Anchored, Concise, Validated PR Bodies
When to use
Trigger this skill on any of the following intents:
- "write a PR description"
- "draft a PR body"
- "open a PR" / "open this PR" / "let's open the PR"
- "fill in the PR template"
- "summarize this branch as a PR"
- "create the PR write-up"
Reusable for any PR against microsoft/apm. The output is one
markdown file that the orchestrator pastes into
gh pr create --body-file or surfaces to the maintainer.
Output charset rule (read this first)
The repo-wide encoding rule at
.github/instructions/encoding.instructions.md constrains
source files and CLI output to printable ASCII because Windows
cp1252 terminals raise UnicodeEncodeError on anything else. PR
comments are NOT source code and NOT CLI output -- they are rendered
by GitHub's Primer engine, which expects UTF-8 GitHub-Flavored
Markdown.
Two distinct rules therefore apply:
- Source files in this bundle (
SKILL.md,assets/*) MUST stay ASCII. They live in the repo and are subject to.github/instructions/encoding.instructions.md. - The PR body output the skill produces MUST be UTF-8 GitHub-Flavored Markdown. Use em dashes, smart punctuation, alerts, collapsibles, task lists, and Unicode where it improves readability. Mermaid diagram labels MAY use Unicode -- there is no constraint here. The output is consumed by GitHub's renderer, not by a Windows terminal.
A previous version of this skill incorrectly required ASCII in the PR body. That made the output unreadable: no alerts, no collapsibles for long evidence, no em dashes, no smart quotes. Reviewers had to scroll through hundreds of flat lines instead of scanning a body shaped by GFM features.
Concision targets (hard ceilings)
The skill aims for 150-220 lines for a typical PR body. 300+ lines is a smell, not a virtue. If your draft exceeds 250 lines, run a tightening pass: every sentence that does not change the reviewer's understanding must be cut.
What ships with it
20 files 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.
- apm.yml 835 B
- assets/mermaid-conventions.md 8.3 KB
- assets/pr-body-template.md 5.8 KB
- assets/scenario-evidence-rubric.md 8.5 KB
- assets/section-rubric.md 6.6 KB
- evals/.gitignore 82 B
- evals/content/auth-refactor.json 3.0 KB
- evals/content/dep-bump.json 2.4 KB
- evals/content/docs-only.json 2.2 KB
- evals/evals.json 1.2 KB
- evals/fixtures/auth-refactor__with_skill.md 3.7 KB
- evals/fixtures/auth-refactor__without_skill.md 1009 B
- evals/fixtures/dep-bump__with_skill.md 1.4 KB
- evals/fixtures/dep-bump__without_skill.md 246 B
- evals/fixtures/docs-only__with_skill.md 1.8 KB
- evals/fixtures/docs-only__without_skill.md 264 B
- evals/README.md 4.6 KB
- evals/results/.gitkeep 0 B
- evals/triggers.json 3.5 KB
- scripts/run_evals.py 11 KB runs code
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 · 341 lines · 131 tokens per session scan A d07254e9d0b9
pr-description-skill is a skill published in the GitHub repository microsoft/apm (4,133 stars, last pushed yesterday), licensed MIT. It adds 131 tokens to every session and 4,074 once invoked, about $0.0005 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 2026-08-30.
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