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.
npx agentmods add skills/cogni-work/insight-wave/knowledge-reportnpx skills add cogni-work/insight-wave --skill knowledge-reportgit clone --depth 1 https://github.com/cogni-work/insight-waveWrote 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/cogni-work/insight-wave/knowledge-report)<a href="https://agentmods.dev/skills/cogni-work/insight-wave/knowledge-report"><img src="https://agentmods.dev/badge/skills/cogni-work/insight-wave/knowledge-report.svg" alt="Measured on agentmods" 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 | $0.00222 | $0.03521 |
| Opus 5 | $0.00111 | $0.01760 |
| Sonnet 5 | $0.00044 | $0.00704 |
| Haiku 4.5 | $0.00022 | $0.00352 |
Grade A, and why
knowledge-report 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.
How it starts
The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Report
Compose a report from the accumulated knowledge in a bound cogni-knowledge base, then deposit the new report back into the same wiki. This is the wiki-roundtrip primitive — the second-order loop that proves knowledge compounds: a wiki-mode research run reads what knowledge-research filed, and its own findings join the same wiki for the next reader.
This skill is a thin orchestrator. Three pieces of value-add over a raw cogni-research + cogni-wiki chain:
- Binding-aware wiki path resolution — no
--wiki-rootfrom the user; read it frombinding.json. - Cycle-guard — refuses to deposit when the new project's wiki citations form a direct self-cycle (it would be reading its own past deposit as new evidence).
- Live
report_sourcein the binding — the deposited project is recorded withwikiorhybrid(whichevercogni-researchactually ran), not a hard-codedweb.
Read ${CLAUDE_PLUGIN_ROOT}/references/differentiation-thesis.md once per session to anchor on the accumulation thesis; read ${CLAUDE_PLUGIN_ROOT}/references/delegation-contract.md to remember the delegation boundary.
When to run
- User asks for a report composed from an existing knowledge base — "what do we know about X?", "summarise the EU AI Act base on Article 6", "roundtrip report on foundation models"
- User wants the second-order loop: a new research run that reads what previous runs filed AND adds its own findings to the same wiki
- User explicitly invokes
/cogni-knowledge:knowledge-report
Never run when
- No
binding.jsonexists at the resolved knowledge root — route the user to/cogni-knowledge:knowledge-setupfirst - The knowledge base is empty (zero entries in
research_projects[]) — point the user at/cogni-knowledge:knowledge-researchinstead; there is nothing to read yet - The user wants a one-shot research report with no persistence —
cogni-research:research-setupdirectly is the right primitive
Parameters
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.
- 4d ago First seen · 210 lines · 222 tokens per session scan A 3da5e3dc383a
knowledge-report is a skill published in the GitHub repository cogni-work/insight-wave (12 stars, last pushed today), licensed Apache-2.0. It adds 222 tokens to every session and 3,521 once invoked, about $0.0011 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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