knowledge-review

knowledge-review is a skill for Claude Code, Codex from agno-agi/context. It costs 103 tokens per session (1,041 once invoked), scanned A, original, Apache-2.0.

A read-only review of a knowledge base, checking its files, index, and content for gaps or outdated information.

In plain words
What is it for?
Use it to find empty pages, outdated specifications, undocumented decisions, missing index entries, and broken links between the index and the files.
Why use it?
It shows what needs attention without changing anything, so missing, stale, or hard-to-find information can be handled deliberately.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/agno-agi/context/knowledge-review
Any agent
npx skills add agno-agi/context --skill knowledge-review
Clone the repo
git clone --depth 1 https://github.com/agno-agi/context

Made for: Claude Code, Codex.

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 knowledge-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/agno-agi/context/knowledge-review.svg)](https://agentmods.dev/skills/agno-agi/context/knowledge-review)
Your own site
<a href="https://agentmods.dev/skills/agno-agi/context/knowledge-review"><img src="https://agentmods.dev/badge/skills/agno-agi/context/knowledge-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,041 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00103 $0.01041
Opus 5 $0.00051 $0.00521
Sonnet 5 $0.00021 $0.00208
Haiku 4.5 $0.00010 $0.00104

Measured 4d ago against content hash 0129e7cf1630, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

knowledge-review 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 4d 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.

skills/knowledge-review/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Knowledge Review

Runtime skill — a playbook the deployed @context agent runs for its owner, invoked in natural language. Not a coding-agent workflow; those live in .agents/skills/.

Sweep the knowledge base and report what needs attention so nothing rots. This is read-only: it surfaces issues and suggests the fix, it never edits, files, or deletes anything itself. The owner decides what to act on.

The knowledge base searches by keyword and the index (no search-by-meaning), so this sweep works the same way: list the tree, read the index, and reconcile the two.

Procedure

  1. Get the lay of the land. Two query_knowledge reads up front:
    • Ask it to list every file and folder, recursively — the raw tree, not a summary.
    • Ask it for the root README.md index table, verbatim — every spec and page it lists. Hold both so you can reconcile what's on disk against what the index claims.
  2. Reconcile disk against the index.
    • Orphaned — a folder or page on disk that the index never lists. It's unfindable through the front door.
    • Index drift — a row in the index pointing at a folder or page that doesn't exist on disk. A dead link.
  3. Spot-check the suspect pages with targeted query_knowledge reads:
    • Stubs — a page that's a heading and a line or two of placeholder ("stub page", "no details yet", a single sentence) with no real substance.
    • Stale specs — a spec whose status table still says draft / in progress / for review, or whose own "last updated" line is well in the past, with no sign it has moved. Flag it as worth a look, don't assume it's dead.
    • Missing decision log — a spec with a design or implementation but no decisions.md (or an empty one). Decisions got made; they were never written down.
    • Dead cross-links (when you notice them) — a link from one page to another path that isn't there.
  4. Write the "what needs attention" list. Group the findings, most actionable first. Each line: the path, one sentence on why it needs attention, and the suggested next step (add it to the index, flesh out the stub, write the ADR, fix the index row). Suggest only; don't do it.

Read the full file on GitHub · 74 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. 4d ago First seen · 74 lines · 103 tokens per session scan A 0129e7cf1630

Subscribe to this mod's changes

knowledge-review is a skill published in the GitHub repository agno-agi/context (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 103 tokens to every session and 1,041 once invoked, about $0.0005 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.

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