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/.github/instructions/linting.instructions.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/instructions/microsoft/apm/linting)<a href="https://agentmods.dev/instructions/microsoft/apm/linting"><img src="https://agentmods.dev/badge/instructions/microsoft/apm/linting/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/instructions/microsoft/apm/linting"><img src="https://agentmods.dev/badge/instructions/microsoft/apm/linting.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 | $0.00952 | $0.00952 |
| Opus 5.5 | $0.00381 | $0.00381 |
| Sonnet 5.5 | $0.00190 | $0.00190 |
| Haiku 4.5 | $0.00095 | $0.00095 |
Grade A, and why
apm linting.instructions.md 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.
This is a copy
94% identical to apm copilot-instructions.md — 25 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Linting (canonical contract)
The CI Lint job is a hard gate. Mirror it locally before git push
and before producing any artifact (PR body, release note, audit
report) that claims CI is green.
CI-mirror commands
The Lint job runs (see .github/workflows/ci.yml):
uv run --extra dev ruff check src/ tests/ \ scripts/lint_architecture_boundaries.py scripts/architecture_linter/uv run --extra dev ruff format --check src/ tests/ \ scripts/lint_architecture_boundaries.py scripts/architecture_linter/- YAML I/O safety guard (rejects raw
yaml.dump(..., handle)outsideutils/yaml_io.py; mark approved exceptions with# yaml-io-exempt). - File length guardrail (no covered Python file may exceed 2100 lines).
- No raw
str(path.relative_to(...))patterns -- useportable_relpath()fromapm_cli.utils.paths. - Code duplication guardrail (pylint R0801):
uv run --extra dev python -m pylint --disable=all --enable=R0801 \ --min-similarity-lines=10 --fail-on=R0801 src/apm_cli/ \ scripts/lint_architecture_boundaries.py scripts/architecture_linter/ - Auth-protocol boundary check:
bash scripts/lint-auth-signals.sh
All seven must succeed. CI evaluates these on the PR merge commit
(HEAD merged with current main), so duplication introduced by a
recent main commit can fail your PR even if your own diff is clean.
Always merge main locally before running the mirror.
Local workflow
- Auto-fix style+imports:
uv run --extra dev ruff check src/ tests/ \ scripts/lint_architecture_boundaries.py scripts/architecture_linter/ --fix - Apply formatter:
uv run --extra dev ruff format src/ tests/ \ scripts/lint_architecture_boundaries.py scripts/architecture_linter/ - Verify the full Lint job (must all be silent / exit 0):
(The YAML, file-length, anduv run --extra dev ruff check src/ tests/ \ scripts/lint_architecture_boundaries.py scripts/architecture_linter/ \ && uv run --extra dev ruff format --check src/ tests/ \ scripts/lint_architecture_boundaries.py scripts/architecture_linter/ \ && uv run --extra dev python -m pylint --disable=all --enable=R0801 \ --min-similarity-lines=10 --fail-on=R0801 src/apm_cli/ \ scripts/lint_architecture_boundaries.py scripts/architecture_linter/ \ && bash scripts/lint-auth-signals.shrelative_toguards are pure-grep one-liners fromci.yml; run them directly if you have touched those surfaces.)
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 Changed · +8 lines · +126 tokens per session 7ae1682c738e
- 1mo ago First seen · 70 lines · 826 tokens per session scan A 8d31137f1884
apm linting.instructions.md is an instructions file published in the GitHub repository microsoft/apm (4,133 stars, last pushed yesterday), licensed MIT. It adds 952 tokens to every session, about $0.0038 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to apm copilot-instructions.md, differing in 25 lines, and is treated as a copy.
Other instructions, from other repositories
awesome-ai-setup riverpod.instructions.md
Instructions for shuchitajain/awesome-ai-setup, covering riverpod conventions, provider types, naming, state classes and async state pattern.
ai-agent-rules-generator ratelimitting.instructions.md
Instructions for savedpixel/ai-agent-rules-generator, covering rate limit prevention (critical), rules, output length limits and visibility.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.