knowledge-fetch

knowledge-fetch is a skill for Claude Code, Codex from cogni-work/insight-wave. It costs 166 tokens per session (4,272 once invoked), scanned A, original, Apache-2.0.

A research-pipeline step that assembles a record of fetched web sources. It can optionally use a browser to recover missing sources or read more complete versions of thin sources.

In plain words
What is it for?
Use it after source candidates have been curated to record fetched content, retry failed web fetches, and add fuller versions of important sources.
Why use it?
It creates one reliable manifest of the source material available for later research steps, while keeping browser access optional.

Skill for Claude CodeCodex

Installs and runs on its own, but its text points at files inside its plugin — anything it tells you to read at a ${CLAUDE_PLUGIN_ROOT} path is only there once the plugin is installed. Installing the plugin gets both.

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

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/cogni-work/insight-wave/knowledge-fetch
Any agent
npx skills add cogni-work/insight-wave --skill knowledge-fetch
Clone the repo
git clone --depth 1 https://github.com/cogni-work/insight-wave

Made for: Claude Code, Codex.

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-fetch

README.md
[![agentmods](https://agentmods.dev/badge/skills/cogni-work/insight-wave/knowledge-fetch.svg)](https://agentmods.dev/skills/cogni-work/insight-wave/knowledge-fetch)
Your own site
<a href="https://agentmods.dev/skills/cogni-work/insight-wave/knowledge-fetch"><img src="https://agentmods.dev/badge/skills/cogni-work/insight-wave/knowledge-fetch.svg" alt="Measured on agentmods" height="20"></a>
Per session 166 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,272 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 $0.00166 $0.04272
Opus 5 $0.00083 $0.02136
Sonnet 5 $0.00033 $0.00854
Haiku 4.5 $0.00017 $0.00427

Measured today against content hash ea875313688b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

knowledge-fetch 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 today.

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-fetch/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Knowledge Fetch

Phase 3 of the inverted pipeline. The WebFetch body-pull happens inside the Phase-2 curators, so this skill no longer fetches by default — it reads each candidate's fetch sub-object from <project>/.metadata/candidates.json and assembles the canonical <project>/.metadata/fetch-manifest.json directly. Its remaining active job is opt-in cobrowse (--cobrowse or the interactive prompt): it walks the user through enabling the Claude-in-Chrome browser extension and dispatches source-fetcher sequentially to do two things — recover WebFetch misses (merging rescues into the manifest) and additively top up thin primary-tier sources (reading the fuller browser body beyond WebFetch's cap, superseding the cached body only if strictly longer, never degrading a usable one).

Read ${CLAUDE_PLUGIN_ROOT}/references/inverted-pipeline.md §"Phase 3 — knowledge-fetch" and references/fetch-cache-design.md once to anchor on the contract.

When to run

  • candidates.json exists for the project (Phase 2 has run) AND either fetch-manifest.json does not yet exist OR the user explicitly wants to re-fetch (e.g., after evicting stale cache entries)
  • User explicitly invokes /cogni-knowledge:knowledge-fetch

Never run when

  • No candidates.json exists at <project_path>/.metadata/ — offer knowledge-curate first.
  • No binding.json exists at the resolved knowledge root.

Parameters

Parameter Required Description
--knowledge-slug Yes Slug of the bound knowledge base.
--project-path Yes Absolute path to the project directory.
--knowledge-root No Override the default knowledge-base directory.
--max-age-days No Cache freshness window in days. Default: from binding.curator_defaults.fetch_cache_max_age_days (30). Forwarded to the cobrowse source-fetcher.
--cobrowse No Opt in to browser-assisted cobrowse — both recovery of WebFetch misses and additive top-up of thin primary-tier sources (reading the fuller body beyond WebFetch's cap). Default OFF (autonomous runs stay browser-free).
--no-cobrowse No Force cobrowse off (both recovery and top-up) even in an interactive session (suppresses the prompt).
--batch-size No Vestigial — the default WebFetch path no longer dispatches per batch (the curators already fetched). Cobrowse is per-URL sequential through the single shared browser tab. Kept for backward-compat; ignored.
--tier No Restrict the cobrowse sets (both misses and top-up candidates) to a single tier (primary, secondary, supporting). Default: all tiers (the top-up set is already primary-only by construction). No longer bounds WebFetch cost — that is the curator's max_candidates_per_sq (Phase 2).
--dry-run No Print the manifest plan (fetched / unavailable counts from the candidates' fetch sub-objects, cobrowse-eligible miss count, and cobrowse top-up candidate count) without dispatching cobrowse.

Read the full file on GitHub · 179 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. today Changed · -14 lines ea875313688b
  2. 4d ago First seen · 193 lines · 166 tokens per session scan A b333b9ecd756

Subscribe to this mod's changes

knowledge-fetch is a skill published in the GitHub repository cogni-work/insight-wave (12 stars, last pushed today), licensed Apache-2.0. It adds 166 tokens to every session and 4,272 once invoked, about $0.0008 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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