agentgram: Skill for Claude Code

.claude/skills/review-docs/SKILL.md

review-docs is a skill for Claude Code from dfradehubs/agentgram. It costs 32 tokens per session (883 once invoked), scanned A, original, MIT.

A review workflow for improving Agentgram's technical documentation, such as READMEs, security notes, and operating guides.

In plain words
What is it for?
Use it to assess documentation, prioritize problems, cite the affected sections, and propose corrected wording or structure.
Why use it?
It finds unclear, conflicting, inaccurate, or risky instructions before they mislead developers or operators.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions CLAUDE.md.

This is dfradehubs/agentgram's own configuration. It tells Claude Code how to work on agentgram itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentgram configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dfradehubs/agentgram. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/dfradehubs/agentgram/main/.claude/skills/review-docs/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/dfradehubs/agentgram

Made for: Claude Code.

Wrote 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.

agentmods badge for review-docs

README.md
[![agentmods](https://agentmods.dev/badge/skills/dfradehubs/agentgram/review-docs/github.svg)](https://agentmods.dev/skills/dfradehubs/agentgram/review-docs)
Your own site
<a href="https://agentmods.dev/skills/dfradehubs/agentgram/review-docs"><img src="https://agentmods.dev/badge/skills/dfradehubs/agentgram/review-docs/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.

agentmods 80×15 button for review-docs

Your own site · 80×15
<a href="https://agentmods.dev/skills/dfradehubs/agentgram/review-docs"><img src="https://agentmods.dev/badge/skills/dfradehubs/agentgram/review-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 883 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00032 $0.00883
Opus 5.5 $0.00013 $0.00353
Sonnet 5.5 $0.00006 $0.00177
Haiku 4.5 $0.00003 $0.00088

Measured 1mo ago against content hash 407ac9e9d7f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-docs 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.

.claude/skills/review-docs/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Act as a Technical Writer + Senior Engineer + QA. Your goal is to review and clean Agentgram documentation specified in $ARGUMENTS (or current context if no arguments) to make it clear, correct, consistent, and maintainable.

Project context

  • Doc structure: CLAUDE.md (root), api/CLAUDE.md, web/CLAUDE.md, api/docs/SECURITY.md
  • API: Go multiplexer, AG-UI SSE protocol, Keycloak JWT auth, Redis + PostgreSQL sessions
  • Web: Next.js 16, SSE streaming, parallel multi-agent support. UI text in Spanish (es).
  • Commands: make api, make web, make docker-up, make image-all, make test
  • Config: YAML with ${ENV:VAR} syntax for secrets
  • Deployment: Kubernetes, images to ghcr.io/dfradehubs/

Deliver in this format

A) SUMMARY

  • Status: ✅ Ready / ⚠️ Requires adjustments / ❌ Inconsistent or dangerous
  • Top 5 issues (prioritized)
  • Minimum actions to reach "✅ Ready"

B) FINDINGS (prioritized) For each finding include:

  • Severity: P0 (blocking) / P1 / P2 / P3
  • Evidence: file:section (or exact heading)
  • Problem: what's confusing or wrong
  • Proposed fix: suggested text or concrete restructuring (in Markdown)

C) REWRITE PROPOSAL (if applicable)

  • Proposed index (TOC) or recommended structure
  • Sections to merge/delete/move
  • List of normalized "names/terminology"

Review criteria

  1. Accuracy and currency
  • Detect obsolete content: old paths (backend/, frontend/), deprecated commands, wrong port numbers.
  • Flag contradictions between CLAUDE.md (root), api/CLAUDE.md, web/CLAUDE.md, and api/docs/SECURITY.md.
  • Verify AG-UI event types and SSE format match actual implementation.
  • Check Makefile targets match documented commands.
  1. Clarity and readability
  • Long sentences, ambiguities, logical jumps.
  • Rewrite so a new developer understands the "what", "why", and "how".
  • Add minimum context: prerequisites, limits, gotchas.
  1. Editorial and technical consistency
  • Unify terminology: "API" vs "backend", "Web" vs "frontend", "agent" vs "service".
  • Normalize command examples (shell fenced, consistent prompt).
  • Maintain convention: "imperative" for steps ("Execute...", "Verify...").
  • Consistent naming: agentgram-api, agentgram-web for images/K8s resources.

Read the full file on GitHub · 77 lines

Changes

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.

  1. 1mo ago First seen · 77 lines · 32 tokens per session scan A 407ac9e9d7f4

Subscribe to this mod's changes

review-docs is a skill published in the GitHub repository dfradehubs/agentgram (22 stars, last pushed 2mo ago), licensed MIT. It adds 32 tokens to every session and 883 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

merge-prs

Consume analyzed PR plans, implement authorized fixes with contributor credit, validate exact candidates, and merge only owner-selected and explicitly authorized groups through the shared gates. Requires prior review evidence; unknown or failing required checks remain HOLD.

diegosouzapw/OmniRoute · 47 tokens

merge-batch

Prepare and merge an owner-selected PR batch with contributor credit and exact-candidate admission. Use for a pasted PR list; combined focused validation is diagnostic, and every actual landing still requires its applicable checks and authorization.

diegosouzapw/OmniRoute · 46 tokens

green-prs

Inspect and prepare the selected PR queue against its exact current base, repair authorized defects with contributor credit, and report full versus partial validation. Use for maintainer pre-greening; merging requires separate owner authorization and the shared merge gates.

diegosouzapw/OmniRoute · 51 tokens

adk-go-self-review

Review an ADK Go change the way a maintainer will — a fresh-context pass over the whole diff, five lenses (correctness and tests, scope, simplicity, style, adk-python parity), and the mutation check that proves your tests pin the change. Use before opening a PR, before any later push that changes code, and when asked…

google/adk-go · 87 tokens

pr-review

Review a GitHub pull request using multiple expert personas. Takes a PR URL as input, analyzes the changes, and generates comprehensive review feedback from different perspectives (Merge Specialist, Frontend, Backend, Security, DevOps, AI/Agent, SRE, Chief Architect).

agentic-community/mcp-gateway-registry · 57 tokens

archestra-pr-hygiene

Use when opening or updating an Archestra pull request to write an accurate conventional title and a practical, evidence-based description.

archestra-ai/archestra · 31 tokens