knowledge-refresh

knowledge-refresh is a skill for Claude Code from cogni-work/insight-wave. It costs 182 tokens per session (9,106 once invoked), scanned A, original, Apache-2.0.

A refresh workflow for a connected knowledge base that finds aging wiki pages and rebuilds selected topics from current, checked evidence.

In plain words
What is it for?
Use it to identify stale pages, choose topics for fresh research, create verified synthesis pages, enrich the wiki’s concept links, or re-check cited URLs.
Why use it?
It helps keep stored research up to date and can re-check claims against the live source links cited by the wiki.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool; positional $N argument.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the cogni-knowledge plugin — 23 skills, 16 agents shipped together

Good fit Use it to identify stale pages, choose topics for fresh research, create verified synthesis pages, enrich the wiki’s concept links, or re-check cited URLs.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add cogni-work/insight-wave
Claude Code
/plugin install cogni-knowledge

Made for: Claude Code.

Or install cogni-knowledge, the plugin that ships this one along with the rest of its 23 skills, 16 agents.

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-refresh

README.md
[![agentmods](https://agentmods.dev/badge/skills/cogni-work/insight-wave/knowledge-refresh/github.svg)](https://agentmods.dev/skills/cogni-work/insight-wave/knowledge-refresh)
Your own site
<a href="https://agentmods.dev/skills/cogni-work/insight-wave/knowledge-refresh"><img src="https://agentmods.dev/badge/skills/cogni-work/insight-wave/knowledge-refresh/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 knowledge-refresh

Your own site · 80×15
<a href="https://agentmods.dev/skills/cogni-work/insight-wave/knowledge-refresh"><img src="https://agentmods.dev/badge/skills/cogni-work/insight-wave/knowledge-refresh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 182 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,106 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 $0.00182 $0.09106
Opus 5.5 $0.00073 $0.03642
Sonnet 5.5 $0.00036 $0.01821
Haiku 4.5 $0.00018 $0.00911

Measured 1mo ago against content hash eee809ed0851, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

knowledge-refresh 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.

cogni-knowledge/skills/knowledge-refresh/SKILL.md · 300 lines

How it starts

The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Knowledge Refresh

Close the self-healing loop for a bound cogni-knowledge base. Wiki pages age — the vendored lint_wiki.py flags stale_page (>365d) and stale_draft (>180d) findings, but lint alone doesn't bring fresh evidence. Push-mode lints the wiki, asks the user which stale topics they want fresh evidence on, then runs the inverted pipeline per selected topic: the seven-phase chain knowledge-plan → knowledge-curate → knowledge-fetch → knowledge-ingest → knowledge-distill (optional, fail-soft) → knowledge-compose → knowledge-verify → knowledge-finalize. Each topic ends with a freshly-composed, claim-verified type: synthesis page deposited into the bound wiki, and the distill step enriches the concept/entity web. An orthogonal opt-in --resweep flag re-verifies the bound wiki's cited claims against live source URLs.

This skill is a pure orchestrator — push-mode composes existing cogni-knowledge phase skills via Skill(...), never re-implementing them. Push-mode dispatches zero cogni-research skills — cogni-research is 0% of the runtime path.

Read ${CLAUDE_PLUGIN_ROOT}/references/delegation-contract.md once per session to remember the delegation boundary and the Skill-dispatch convention (§"How Skill(...) blocks are written").

When to run

  • User wants to refresh stale pages in a bound knowledge base
  • User wants the system to auto-research the stale topics (push-mode)
  • User wants to re-verify the bound wiki's cited claims against live source URLs — --resweep (opt-in)

Never run when

  • No binding.json exists at the resolved knowledge root — route to /cogni-knowledge:knowledge-setup
  • The bound wiki has zero stale pages AND --mode push — there's nothing to push-refresh
  • --mode push (or the default) was selected but the vendored wiki-lint script (lint_wiki.py) is missing from this install — abort with the standard missing-vendored-scripts message (Step 0 pre-flight)
  • --resweep was passed but the vendored wiki-claims-resweep scripts are missing from this install — abort with the standard missing-vendored-scripts message (Step 0 pre-flight)

Read the full file on GitHub · 300 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 Changed · +3 lines eee809ed0851
  2. 1mo ago First seen · 297 lines · 182 tokens per session scan A d4dfa1fcbf9a

Subscribe to this mod's changes

knowledge-refresh is a skill published in the GitHub repository cogni-work/insight-wave (13 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 182 tokens to every session and 9,106 once invoked, about $0.0007 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.

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