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 bobmatnyc/claude-mpm-skills --skill code-review-standardsgit clone --depth 1 https://github.com/bobmatnyc/claude-mpm-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/skills/bobmatnyc/claude-mpm-skills/code-review-standards)<a href="https://agentmods.dev/skills/bobmatnyc/claude-mpm-skills/code-review-standards"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/code-review-standards/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/bobmatnyc/claude-mpm-skills/code-review-standards"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/code-review-standards.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 Excessive Agency · line 157 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00029 | $0.01919 |
| Opus 5 | $0.00015 | $0.00959 |
| Sonnet 5 | $0.00006 | $0.00384 |
| Haiku 4.5 | $0.00003 | $0.00192 |
Grade A, and why
code-review-standards scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| HIGH | fetcher.py | 23 | `requests.get()` called inside `async def` | Replace with `await httpx.AsyncClient().get()` | How it starts
The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review Standards
Purpose
This skill defines the structured checklist that the code-critic agent applies during
Stage 4 of the code production pipeline. The checklist is severity-tagged so that PM
and engineer both know exactly which findings block delivery and which are advisory.
Engineers may load this skill for self-review before requesting a critic pass.
The checklist exists because unstructured code review in multi-agent systems produces inconsistent signal: one critic dispatch flags naming; another flags security; neither flags the same things. Severity tagging makes the review deterministic across dispatches.
The Severity-Tagged Checklist
CRITICAL (must fix, blocks delivery)
- No secrets, API keys, or credentials hardcoded
- No SQL injection vectors (parameterized queries only)
- No arbitrary code execution paths (no
eval,exec, unrestrictedpickle.loads) - Authentication/authorization not bypassable
- No infinite loops without escape conditions
HIGH (must fix, blocks delivery)
- Type hints on all public functions and classes
- mypy --strict passes with zero errors
- pytest passes with zero failures
- Test coverage >= 90% on new code
- No bare except clauses
- No mutable default arguments
- No global mutable state
- No synchronous I/O inside async functions
- No N+1 query patterns
- Error cases handled explicitly (not silently swallowed)
MEDIUM (flag, note in report, proceed)
- Functions <= 20 lines (prefer <= 10)
- No nested loops where hash map would reduce complexity
- list.pop(0) replaced with deque.popleft() where relevant
- asyncio.gather uses return_exceptions=True where appropriate
- Async operations have explicit timeouts
- Docstrings on public methods (Google or NumPy style)
- No Any types in production code paths
Efficiency (see criteria-efficiency.md):
- No nested loops over two collections that should be a hash-map lookup (O(n*m) → O(n+m))
- No per-iteration I/O (queries/RPCs/fetches inside a loop) — batch outside the loop (HIGH on hot paths; see "No N+1 query patterns")
- Repeated deep property/selector resolution cached in a local (no greedy data access)
- String accumulation in loops uses list+join / StringBuilder, not
+= - No
SELECT */ over-fetching in production query paths
What ships with it
8 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.
- 9d ago First seen · 173 lines · 29 tokens per session scan A 23c8e03dfcb7
code-review-standards is a skill published in the GitHub repository bobmatnyc/claude-mpm-skills (75 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 1,919 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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Comprehensive four-wave review of all repo source files, producing a prioritized issue backlog.
agent-teams-simplify-and-harden
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or…