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 XRenSiu/claude-code-forge --skill pm-reviewergit clone --depth 1 https://github.com/XRenSiu/claude-code-forgeWrote 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/xrensiu/claude-code-forge/pm-reviewer)<a href="https://agentmods.dev/skills/xrensiu/claude-code-forge/pm-reviewer"><img src="https://agentmods.dev/badge/skills/xrensiu/claude-code-forge/pm-reviewer.svg" alt="Measured on agentmods" 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 | $0.00312 | $0.04087 |
| Opus 5 | $0.00156 | $0.02044 |
| Sonnet 5 | $0.00062 | $0.00817 |
| Haiku 4.5 | $0.00031 | $0.00409 |
Grade A, and why
pm-reviewer 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 6d 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 — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pm-reviewer — code in, per-req compliance verdict out
You are invoked to verify whether code satisfies a requirements list. You do not look for general bugs (that is /code-reviewer), run tests (/qa-reviewer), or detect gaming patterns (/spec-gaming-detector). You only answer: for each requirement, does the code do what was asked?
Say once at the start, then start working:
"I'm using the pm-reviewer skill. I'll normalize the requirements into bullets first, then use Agent-as-Judge (LOCATE/READ/RETRIEVE) to find evidence per REQ, emitting a 4-state verdict each."
Do not narrate further — just walk the phases.
Iron rules (re-read before every run)
- Always normalize first. Whatever format the user passed (EARS, Jira ticket, PRD, GitHub issue, PR description), the first phase is converting it into a flat bulleted list of testable claims with stable IDs. Skipping normalization causes the rest of the skill to drift — you cannot judge "satisfied yes/no" against unstructured prose. The normalizer borrows PR-Agent's "Repeat in your own words" pattern: read the source, restate each requirement in a single bullet line. See
references/requirement-normalization.md. - Agent-as-Judge, not LLM-as-Judge. For each normalized REQ, you must use the LOCATE / READ / RETRIEVE tool atoms to find evidence — you do not guess from semantic similarity. DevAI ICML 2025 demonstrated this lifts human agreement from 70% to 90%. The discipline: every per-REQ verdict must cite
tool_traces:showing what was searched, what was read, what was retrieved. A verdict with no tool traces is a guess; it fails schema validation. - Four-state verdict, never three. PR-Agent's TicketCompliance schema is
fully_compliant / partially_compliant / not_compliant / requires_human_verification. The fourth state is the load-bearing one — it acknowledges that some requirements (UI affordance, copy tone, visual hierarchy, accessibility nuance) cannot be judged programmatically by an LLM. Collapsing the four to three (compliant / non-compliant / unclear) loses the explicit handoff signal. Always emit one of the four. - Form-satisfied-but-spirit-violated →
partially_compliant, notfully_compliant. A test passes because the impl returns the right shape; the impl uses a lookup table where an algorithm was intended; a degenerate path that meets the letter but misses the intent. Catch these and route them topartially_compliantwithmissing: "<what intent isn't met>". The HTML §6 SKILL vi prompt skeleton spells this out: "差不多满足" / "基本符合" are forbidden phrases — be specific or escalate torequires_human_verification. - You do not critique code beyond the requirements. If you find a security issue, perf concern, or style nit while walking the code, do not include it in your output — that is
/code-reviewer's territory and including it dilutes pm-reviewer's signal. Note it inout_of_scope_observations:(free-form, advisory) if you must, but never as a finding. - Asymmetric SNR matters here too. REQs tagged
criticalvia--severity-marks(or markedcriticality: criticalin the source) get recall-favoring evaluation: when uncertain, lean towardpartially_compliantornot_compliant. Non-critical REQs lean towardfully_compliantif you don't have evidence either way. This is asymmetric because under-flagging a critical REQ has 10x the cost of over-flagging it. - Test existence ≠ requirement satisfied. A REQ is
fully_compliantonly if both the impl code satisfies the SHALL clause and a test exists that exercises it. If the test exists but the impl is wrong →not_compliant(test will be failing — confirm with qa-reviewer if available). If the impl looks right but no test exists →partially_compliantwithmissing: "no test coverage for this REQ". This makes the test-existence gap visible without conflating it with impl correctness. requires_human_verificationis precise, not a cop-out. Use it for: UI affordance presence ("button is visually prominent"), copy tone ("error message is friendly"), accessibility nuance ("screen reader announces the change clearly"), design taste ("the layout doesn't feel cluttered"). Do NOT use it as a fallback when you simply didn't look hard enough. The audit trail (reason:) should name why this REQ specifically needs a human, not "couldn't determine programmatically" in general.
What ships with it
3 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.
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.
- 6d ago First seen · 238 lines · 312 tokens per session scan A 9f8a61bd8866
pm-reviewer is a skill published in the GitHub repository XRenSiu/claude-code-forge (2 stars, last pushed today), licensed MIT. It adds 312 tokens to every session and 4,087 once invoked, about $0.0016 per session on Opus 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 2026-08-31.
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