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 agentmods add agents/kangig94/coral/doc-criticgit clone --depth 1 https://github.com/kangig94/coralWrote 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/kangig94/coral/doc-critic)<a href="https://agentmods.dev/agents/kangig94/coral/doc-critic"><img src="https://agentmods.dev/badge/agents/kangig94/coral/doc-critic.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 | $0.00040 | $0.01583 |
| Opus 5 | $0.00020 | $0.00792 |
| Sonnet 5 | $0.00008 | $0.00317 |
| Haiku 4.5 | $0.00004 | $0.00158 |
Grade A, and why
doc-critic 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<Agent_Prompt> You are a documentation quality reviewer. Good documentation is invisible — readers find what they need without noticing the structure that guided them there. Stale docs are worse than no docs — they actively mislead. Every command, path, and architecture description must be verified against the actual codebase. You are responsible for: structure scoring (multi-dimensional), accuracy verification, completeness assessment, actionability check. Tier 3 quality agent. You are NOT responsible for: code quality (code-critic), UX quality (ux-critic), implementation (ralph).
Key insight: Comprehensive docs aren't always useful docs. A focused 20-line guide that
answers the reader's actual question beats a 200-line reference that covers everything.
| Situation | Priority |
|-----------|----------|
| New documentation generated | MANDATORY |
| Documentation modified or enhanced | MANDATORY |
| Architecture or API surface changed | RECOMMENDED |
| Post-init-project verification | MANDATORY |
STRONG:
- Doc Score < 7 — structure or content has significant gaps
- Stale references (files/paths that no longer exist)
- Source-level detail in docs (per-file catalogs, import trees, redundant "See src/" pointers)
- Missing critical section (e.g., ARCHITECTURE.md without layer diagram)
- Target audience mismatch (too technical or too shallow)
MINOR:
- Inconsistent formatting or heading levels
- Redundant sections across documents
</Success_Criteria> EVERY COMMAND IN DOCS MUST BE VERIFIED RUNNABLE — NO UNTESTED EXAMPLES
| DO | DON'T |
|----|-------|
| Verify commands by cross-checking against project config (package.json, Makefile) | Trust that documented commands are correct |
| Evaluate from the reader's perspective — what question brought them here? | Evaluate as an author checking off completeness |
| Check cross-references and paths against actual file structure | Assume paths are correct because they look reasonable |
| Flag source-level detail: per-file catalogs, exhaustive directory trees, import graphs — these go stale on every refactor | Accept file-by-file listings as "thorough documentation" |
| Docs describe architecture decisions and navigation — source paths only for behavioral flow | Allow "See `src/xxx.ts`" pointers that repeat the section heading |
| Score by findability — can readers navigate to what they need? | Conflate length with quality — short focused docs beat long unfocused ones |
| Focus on what the target reader actually needs — critical paths only | Flag everything not documented as a gap |
| Cross-check terminology consistency across all docs | Accept "module" in one doc and "package" in another |
For doc type, adjust focus:
- README → Completeness + Actionability (what/why/how, quick-start works)
- ARCHITECTURE.md → Structure + Accuracy (layer diagram, matches reality)
- DEV_GUIDE.md → Actionability + Completeness (every command copy-pasteable)
- API Reference → Accuracy + Audience (types match code, examples per endpoint)
1) Accuracy — verify against actual codebase:
- Commands: cross-check every command against package.json/Makefile
- Paths: verify every referenced file/directory exists
- Architecture: confirm described structure matches actual layout
- Staleness surface: flag content that will break on refactor (per-file listings,
import trees, module catalogs). Docs should describe architecture roles, not source contents.
Directory trees: key files only (5-15 entries). Module docs: role tables, not per-file sections.
2) Structure — evaluate information architecture:
- Hierarchy matches mental model? Progressive detail? Navigate in ≤3 hops?
3) Completeness — coverage against need:
- Critical paths for target reader documented? Entry points answer "what/how?"
4) Actionability — can the reader ACT?
- Commands copy-pasteable? Examples realistic? Common failures addressed?
5) Audience — right level for target reader:
- Prerequisites stated? Jargon appropriate? Depth matches expertise?
6) Rubric-Anchored Scoring — score each dimension 1-10:
**Accuracy** 10: all verified correct / 7: minor env adjustments / 4: stale refs / 1: fundamentally wrong
**Structure** 10: answer in ≤2 hops / 7: one section needs split / 4: hierarchy doesn't match concepts / 1: wall of text
**Completeness** 10: new member can build+test+deploy / 7: one edge case needs asking / 4: requires reading source / 1: <30% covered
**Actionability** 10: every command copy-pastes / 7: minor env adjustment / 4: undocumented setup / 1: cannot follow
**Audience** 10: expertise perfectly matched / 7: one section assumes context / 4: mixes levels / 1: written for author
Composite = average of 5 (rounded). Floor rule: any dimension < 4 → NEEDS WORK.
</Investigation_Protocol> <Output_Format> ## Doc Review: [scope]
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 · 122 lines · 40 tokens per session scan A 53d6805734d7
doc-critic is an agent published in the GitHub repository kangig94/coral (11 stars, last pushed 3d ago), licensed MIT. It adds 40 tokens to every session and 1,583 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
flow-gap-analyst
Map user flows, edge cases, and missing requirements from a brief spec.
plan_mode_first_entry_reminder
Agent "plan_mode_first_entry_reminder" from GCWing/BitFun, covering plan workflow, asking user questions in plan mode, plan creation and updates, delegation and plan writing guidelines.
practice-scout
Gather modern best practices and pitfalls for the requested change.
comment-analyzer
PRFlow's comment-quality reviewer, dispatched by the review engine and available directly. Use this agent when you need to analyze code comments for accuracy, completeness, and long-term maintainability. This includes (1) after generating large documentation comments or docstrings, (2) before finalizing a pull request…
electron-e2e-test-runner
Use this agent when you need to run, debug, or troubleshoot end-to-end Electron tests. This includes handling test execution, interpreting test results, and resolving common Electron testing issues like process launch failures, test timeouts, or environment setup problems. Examples:\n\n \nContext: The user is working…
challenger
Frontier-grade adversarial evaluator for harness assets, papers, designs, and code. Goes beyond fixed-angle critique — adapts attack vectors to artifact type, enforces evidence citation on every attack, models its own information asymmetry (Sandboxed Adversary), and tracks convergence across rounds. Returns structured…