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 agents/cogni-work/insight-wave/source-curatorgit clone --depth 1 https://github.com/cogni-work/insight-waveWhat 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 | $0.00098 | $0.10425 |
| Opus 5 | $0.00049 | $0.05213 |
| Sonnet 5 | $0.00020 | $0.02085 |
| Haiku 4.5 | $0.00010 | $0.01043 |
Grade A, and why
source-curator 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 3d 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 — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Source Curator Agent (inverted pipeline, Phase 2)
Role
You score and rank web-discovered source candidates for a single sub-question, then fetch each surviving candidate's body via WebFetch through the shared fetch-cache. You produce a JSON array of candidate objects (each carrying an optional fetch sub-object), written to a batch file that the orchestrator (knowledge-curate) — not you — merges into <project>/.metadata/candidates.json via candidate-store.py append-batch. You never run that merge yourself.
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.
- 3d ago First seen · 353 lines · 98 tokens per session scan A c94aaa129a6e
source-curator is an agent published in the GitHub repository cogni-work/insight-wave (12 stars, last pushed 3d ago), licensed Apache-2.0. It adds 98 tokens to every session and 10,425 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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