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/docs-impact-architect/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/docs-impact-architect)<a href="https://agentmods.dev/skills/microsoft/apm/docs-impact-architect"><img src="https://agentmods.dev/badge/skills/microsoft/apm/docs-impact-architect/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/docs-impact-architect"><img src="https://agentmods.dev/badge/skills/microsoft/apm/docs-impact-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Prompt Injection · line 148 Subtle instructions detected that may alter agent decision-making or introduce hidden biases.Fix: Review content for implicit steering or bias. Ensure instructions are explicit and align with the skill's stated purpose.
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 | $0.00085 | $0.01538 |
| Opus 5.5 | $0.00034 | $0.00615 |
| Sonnet 5.5 | $0.00017 | $0.00308 |
| Haiku 4.5 | $0.00009 | $0.00154 |
Grade A, and why
docs-impact-architect 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
docs-impact-architect
Single responsibility: when the classifier says a PR needs structural docs changes (new page, page move, TOC reshape), design the change and emit:
- A precise TOC delta (added pages, moved pages, retired pages)
- New-page outline stubs (slug, title, persona, promise, H2 sections, key examples)
- The persona-ramp impact (which ramp gains/loses a stop)
You are NOT the writer (doc-writer owns prose). You are the TOC architect. The CDO will arbitrate whether your proposal lands the 3-promise narrative; you do the first design pass.
When to invoke
The docs-sync orchestrator invokes you ONLY when the classifier
returned verdict: structural. For no_change or in_place you
don't run.
Inputs
structural_proposalfrom the classifier (a sketch you refine)- The PR diff (
gh pr diff $PR) .apm/docs-index.yml(full corpus map)- The PR description (for author-stated intent)
Step 1: read the corpus map, not the corpus
Load .apm/docs-index.yml entirely. Inspect chapters[], pages[],
promises[]. This is your map. You do NOT read the 100+ page corpus
unless a specific page is implicated by the classifier's sketch.
Step 2: classify the structural shape
Match the PR's surface change to one of these structural shapes:
| Shape | Pattern | Example |
|---|---|---|
| NEW CAPABILITY | A new CLI verb, primitive type, or schema concept the docs have no slot for | apm pack --format wheel adds a new package format |
| EXPANDED CAPABILITY | An existing concept grows in scope and the current page can't hold it | apm install gains a registry-proxy mode that needs its own sub-page |
| DEPRECATED CAPABILITY | A removed CLI verb, flag, or concept; existing pages need to be retired or rewritten | A flag is removed; tutorial pages still teach it |
| CONCEPT SPLIT | One concept becomes two distinct concepts; one page becomes two | apm audit splits into audit and audit ci |
| CONCEPT MERGE | Two concepts unify; two pages should become one | apm pack and apm bundle merge into one verb |
| RAMP REORG | The PR's surface change shifts a concept across promises (e.g. an enterprise feature becomes consumer-default) | Policy enforcement moves from enterprise to consumer default behaviour |
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 · 150 lines · 85 tokens per session scan A 3bc13d5ac9e5
docs-impact-architect is a skill published in the GitHub repository microsoft/apm (4,133 stars, last pushed yesterday), licensed MIT. It adds 85 tokens to every session and 1,538 once invoked, about $0.0003 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.
Other skills, from other repositories
code-review-csharp
Perform structured code reviews of C# source code covering naming conventions, performance, security, readability, and .NET best practices. Trigger phrases include "review this C# code", "check my C# for best practices", "analyze this C# class", "find issues in my C# code".
git-branch-cleanup
Analyzes and safely cleans up local Git branches. Categorizes branches by merge status, staleness, and remote tracking. Provides interactive selection with safety guards. Use when the user wants to clean up branches, delete old branches, organize Git branches, or asks about which branches can be safely deleted.
self-awareness-review
Reviews a given week of your OWN Teams meetings, chats, and sent emails to surface moments where you may have misread social signals or come across as passive-aggressive, curt, sarcastic, or dismissive — returning the exact quote, how it likely landed, and a kinder rewrite. Private self-reflection coaching for the…
audit
Audits recent work against its Definition of Done and project patterns, from a review package of the diff. Runs the test suite, compares code against the spec, tests scenarios, sabotages risk code, and reports PASS / PARTIAL / FAIL with a severity and a cause on every finding. Also runs the Critical Gate — a safety…
markdown-preview
Generate browser-viewable HTML previews from markdown, plain text, and Mermaid diagrams. Auto-validates, styles, and opens in browser.
pr-review
Intent-aware map-reduce PR review with CI/CD support, confidence gating, and intelligent comment deduplication.