Borrowing it
Nothing to install: this file belongs to badwally/TheKnowledge. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/badwally/TheKnowledge/main/.claude/skills/wiki-editorial-review/SKILL.mdgit clone --depth 1 https://github.com/badwally/TheKnowledgeWrote 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/badwally/theknowledge/wiki-editorial-review)<a href="https://agentmods.dev/skills/badwally/theknowledge/wiki-editorial-review"><img src="https://agentmods.dev/badge/skills/badwally/theknowledge/wiki-editorial-review/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/badwally/theknowledge/wiki-editorial-review"><img src="https://agentmods.dev/badge/skills/badwally/theknowledge/wiki-editorial-review.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 | $0.00537 |
| Opus 5 | $0.00012 | $0.00269 |
| Sonnet 5 | $0.00005 | $0.00107 |
| Haiku 4.5 | $0.00002 | $0.00054 |
Grade A, and why
wiki-editorial-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 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.
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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What This Does
Performs a structured editorial pass on one or more wiki pages: citation grounding, claim currency, cross-link completeness, and schema compliance. Produces a ranked list of issues with suggested remediation.
Reference conventions: WIKI.md § 12.2 (lint checks), § 7 (synthesis pages), § 6 (citations).
Usage
/wiki-editorial-review wiki/concepts/food-noise.md
/wiki-editorial-review --domain glp1 # Review all glp1-tagged pages
Execution Steps
-
Run lint on the target scope:
.venv/bin/wiki lint [--scope <check>]Focus on:
citation-density,stale-claims,orphans,broken-wikilinks,schema-drift. -
Read target pages: For each flagged page, read the full content. Assess:
- Citation grounding: every factual claim followed by
[[sources/<id>]]? - Claim currency: references to recent events/studies that may be outdated?
- Cross-links: does the page link to related concepts and entities?
- Schema compliance: required frontmatter fields present? (WIKI.md § 3)
- Citation grounding: every factual claim followed by
-
Prioritize findings: Rank by severity:
- Critical — citation missing on a specific factual claim
- High — stale claim with a clear update source
- Medium — missing cross-link to a closely related page
- Low — prose quality, heading structure
-
Propose fixes: For each critical/high finding, propose the specific remediation:
- Missing citation → suggest running
/wiki-citeon the page - Stale claim → identify the source that would update it
- Missing cross-link → name the target page
- Missing citation → suggest running
-
Apply with user approval: Do not apply fixes autonomously. Present the ranked list and ask which to address. Then use the appropriate skill or command.
Key constraints
- Read-only by default. Never edit pages without explicit user confirmation per finding.
wiki lintwrites a report to.knowledge/lint/— not a wiki page.- Claim accuracy assessment is advisory; the user is the authority on domain knowledge.
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 · 55 lines · 23 tokens per session scan A d283393f1559
wiki-editorial-review is a skill published in the GitHub repository badwally/TheKnowledge (23 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 537 once invoked, about $0.0001 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 skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…