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.
git clone --depth 1 https://github.com/Abhillashjadhav/AI-PM-essential-skillsWrote 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/commands/abhillashjadhav/ai-pm-essential-skills/002-public-surface-validation)<a href="https://agentmods.dev/commands/abhillashjadhav/ai-pm-essential-skills/002-public-surface-validation"><img src="https://agentmods.dev/badge/commands/abhillashjadhav/ai-pm-essential-skills/002-public-surface-validation/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/commands/abhillashjadhav/ai-pm-essential-skills/002-public-surface-validation"><img src="https://agentmods.dev/badge/commands/abhillashjadhav/ai-pm-essential-skills/002-public-surface-validation.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 | $0.00000 | $0.00212 |
| Opus 5.5 | $0.00000 | $0.00085 |
| Sonnet 5.5 | $0.00000 | $0.00042 |
| Haiku 4.5 | $0.00000 | $0.00021 |
Grade A, and why
002-public-surface-validation 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.
What it actually says
Public-surface validation task
Scope
Make the public repository surface accurate and evidence-backed without modifying existing AI-PM skills or removing ContextPort.
Required evidence
- The root README identifies exactly four standalone AI Product Manager Claude Code skills and ContextPort as a separate toolkit.
- Installation uses the canonical
Abhillashjadhav/AI-PM-essential-skillsclone path. - Public claims distinguish automated tests, structural validation, manual fixtures, recorded behavioural model runs, and unverified behavior.
- A dependency-free integrity script validates declared public paths and README references.
- GitHub Actions runs the integrity script and ContextPort unit tests.
Boundaries
VERIFIED: repository files and deterministic command output.
UNKNOWN: live Claude Code behavior, external skill-library coverage, current model information, and real-export compatibility without approval.
UNSUPPORTED: ContextPort destination writes and other capabilities documented as fail-closed.
Privacy
Use committed synthetic fixtures only. Do not access real exports, credentials, browser automation, or external assistant accounts.
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 · 26 lines · 0 tokens per session scan A 98f25280da8c
002-public-surface-validation is a command published in the GitHub repository Abhillashjadhav/AI-PM-essential-skills (9 stars, last pushed 10d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 212 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 2026-09-16.
Other commands, from other repositories
fable-eval
Run the fable-mode eval suite (probes → pairwise judge → report). Costs tokens — runs headless claude many times. Optional arg: a probe id substring to filter.
tdd
Test-driven development with TodoWrite planning and comprehensive testing.
tester
Comprehensive testing with parallel execution capabilities.
prototype
You are building a proof-of-concept for the current Grainulator sprint. Read CLAUDE.md for sprint context and claims.json for existing research claims.
modernize-transform
Transform one legacy module to the target stack — idiomatic rewrite with behavior-equivalence tests.
test-coverage
Analyze test coverage and identify the highest-value gaps to fill.