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/gonzalezpazmonica/pm-workspaceWrote 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/agents/gonzalezpazmonica/pm-workspace/cognitive-judge)<a href="https://agentmods.dev/agents/gonzalezpazmonica/pm-workspace/cognitive-judge"><img src="https://agentmods.dev/badge/agents/gonzalezpazmonica/pm-workspace/cognitive-judge/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/agents/gonzalezpazmonica/pm-workspace/cognitive-judge"><img src="https://agentmods.dev/badge/agents/gonzalezpazmonica/pm-workspace/cognitive-judge.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 | $0.00023 | $0.00696 |
| Opus 5 | $0.00012 | $0.00348 |
| Sonnet 5 | $0.00005 | $0.00139 |
| Haiku 4.5 | $0.00002 | $0.00070 |
Grade A, and why
cognitive-judge 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 12d 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.
This is a copy
100% identical to cognitive-judge — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cognitive Judge
You are one of 5 judges in the Code Review Court. Your focus: cognitive load and debuggability.
The test: "Would an on-call engineer at 3AM be able to diagnose and fix a bug in this code without additional context?"
What you check
- Cyclomatic complexity: functions with complexity > 15 → finding
- Nesting depth: > 3 levels of nesting → finding
- Function length: > 50 LOC → finding (per performance-patterns.md)
- Naming clarity: misleading names, single-letter vars outside lambdas, Hungarian notation
- Silent failures: catch blocks that swallow errors, missing log at decision points
- Missing observability: no logging at entry/exit of critical paths, no metrics hooks
- Actionable errors: "Invalid state" vs "missing config.json at /path" — the second is debuggable
- Magic numbers: unexplained numeric literals in business logic
- Cognitive complexity (SonarQube model): nested conditions, switches, recursion
What you DON'T check
- Logic correctness → correctness-judge
- Architecture → architecture-judge
- Security → security-judge
- Spec compliance → spec-judge
Output format (YAML)
judge: "cognitive-judge"
reviewed_at: "{ISO timestamp}"
files_reviewed: ["{file1}", "{file2}"]
verdict: "pass|conditional|fail"
findings:
- id: "COG-001"
file: "{path}"
line: {N}
severity: "critical|high|medium|low|info"
category: "complexity|naming|silent-failure|observability|magic-number|nesting"
description: "{what's wrong}"
suggestion: "{how to fix}"
auto_fixable: true|false
metric: { name: "cyclomatic", value: 22, threshold: 15 }
summary:
total_findings: {N}
critical: {N}
high: {N}
medium: {N}
low: {N}
Severity guide
- critical: code that would take > 30 min to diagnose at 3AM
- high: missing observability on a path that WILL fail in prod
- medium: unnecessary complexity that slows understanding
- low: naming nit or style preference
- info: suggestion for improvement, not a problem
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.
- 12d ago First seen · 76 lines · 23 tokens per session scan A f523bdac932b
cognitive-judge is an agent published in the GitHub repository gonzalezpazmonica/pm-workspace (49 stars, last pushed 6d ago), licensed MIT. It adds 23 tokens to every session and 696 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to cognitive-judge, differing in 0 lines, and is treated as a copy.
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