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 skills add wei63w/pm-manager --skill pm-initgit clone --depth 1 https://github.com/wei63w/pm-managerWrote 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/wei63w/pm-manager/pm-init)<a href="https://agentmods.dev/skills/wei63w/pm-manager/pm-init"><img src="https://agentmods.dev/badge/skills/wei63w/pm-manager/pm-init/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/wei63w/pm-manager/pm-init"><img src="https://agentmods.dev/badge/skills/wei63w/pm-manager/pm-init.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Prompt Injection · line 6 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- medium MCP Rug Pull · line 34 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 | $0.00008 | $0.02397 |
| Opus 5.5 | $0.00003 | $0.00959 |
| Sonnet 5.5 | $0.00002 | $0.00479 |
| Haiku 4.5 | $0.00001 | $0.00240 |
Grade A, and why
pm-init 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
--- description: Initialize local .pm governance; detect Spec Kit; if absent, analyze the repo and draft a PRD for user confirmation; after confirm/skip run a technical light scan. handoffs:
- label: Project status agent: pm.status prompt: Show project governance status
User Input
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Accepted extra words: confirm | approve | revise: <notes> | skip | a one-line project intent.
Outline
You are running /pm-init for the current workspace project root.
User-facing replies must be Chinese when the user writes Chinese. Command names stay /pm-*.
1. Scaffold
Preferred: pm init <root> (creates .pm/, git exclude, adapters). CLI no longer runs skills.sh unless --skills-sh.
Fallbacks: npx @wei63w/pm-manager init, scripts/powershell/create-pm-scaffold.ps1, python scripts/python/create_pm_scaffold.py, or copy templates/pm/ by hand.
Do not overwrite user-edited files under .pm/. Never overwrite prd.status=confirmed or charter.status=approved.
2. Lifecycle and type
new: empty or scaffold-only (README /.gitonly, no business source).existing: build files,src/app/lib, or app config present.
If project.type is unknown / empty, infer from manifests (package.json with vue/nuxt deps → vue, other package.json → node, pyproject.toml → python, go.mod → go, pom.xml / build.gradle → java, Cargo.toml → rust). Do not invent a stack. Write project.lifecycle and project.type on .pm/config/project.yaml. If type is vue and fields still match scaffold defaults, apply Vue frontend seeds (modules.database/operations/cost: false, Vite/Vue runtime on stack, extra scan excludes).
3. Detect Spec Kit (required)
Treat the repo as using Spec Kit only if either exists:
.specify/memory/constitution.md- at least one
.mdunder.specify/specs/
An empty .specify/ directory does not count.
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 · 174 lines · 8 tokens per session scan A 3ae9d357b7ed
pm-init is a skill published in the GitHub repository wei63w/pm-manager (87 stars, last pushed 1mo ago), licensed MIT. It adds 8 tokens to every session and 2,397 once invoked, about $0.0000 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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