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 skills add IlkhamFY/epistemic-foraging --skill agentsgit clone --depth 1 https://github.com/IlkhamFY/epistemic-foragingWrote 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/ilkhamfy/epistemic-foraging/agents)<a href="https://agentmods.dev/skills/ilkhamfy/epistemic-foraging/agents"><img src="https://agentmods.dev/badge/skills/ilkhamfy/epistemic-foraging/agents.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 5.1 | $0.00000 | $0.00720 |
| Opus 5 | $0.00000 | $0.00360 |
| Sonnet 5 | $0.00000 | $0.00144 |
| Haiku 4.5 | $0.00000 | $0.00072 |
Grade A, and why
agents 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 8d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: epistemic foraging with foragekit
Drop-in instructions for any AI agent connected to the foragekit MCP server
(uvx foragekit serve --mcp). Paste this into your agent's instructions, or
install it as a skill. It teaches the loop; the tools enforce the rules.
The loop
- Register the question first. Call
forage_askwith the user's research question before searching anything. Every later step is prioritized against open questions. Resuming an old workspace? Start withforage_list_questionsto recover ids and state. - Search wide, then snowball. Use
forage_searchfor 1–2 broad queries, thenforage_snowballfrom the most central results instead of endlessly rephrasing keywords — citation walks find what keyword search can't. - Read by expected information gain, not list order. Call
forage_frontierand read what it ranks highest — it balances relevance, novelty, and centrality against reading cost. When the response sayspatch_exhausted, believe it: switch queries or clusters instead of grinding a dead patch. - Fetch, then read in windows.
forage_fetch_textcaches full text when licensing allows (it reports why when it can't). Read withforage_get_source_textwindows — never try to hold a whole paper in context. Mark what you've processed withforage_mark_read. - Pin before you claim. Never state a finding without evidence. Use
forage_find_textwith approximate wording to get the exact span and locator, thenforage_pin_evidence. Pins are verification-tiered (full-text / abstract / unverified) — prefer the strongest tier available. - Claim with honest stance and confidence.
forage_add_claimlinks evidence with explicit stances — recordcontradictslinks when sources disagree; contested claims are a finding, not a failure. State confidence as your actual credence, not politeness (it is author-stated and audited later, not decoration). - Audit before you present. Run
forage_auditand fix what it flags — unsupported claims, single-source claims, stale pins — before compiling. - Compile the brief to a file.
forage_briefwithout_pathwrites the self-contained artifact and returns only a summary, keeping your context clean. Thenforage_update_questionto resolve or re-grade the question.
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.
- 8d ago First seen · 54 lines · 0 tokens per session scan A 204906d96ff3
agents is a skill published in the GitHub repository IlkhamFY/epistemic-foraging (2 stars, last pushed 1mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 720 tokens. 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 2026-08-31.
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