Borrowing it
Nothing to install: this file belongs to egregore-labs/egregore. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/egregore-labs/egregore/main/.claude/skills/harvest/SKILL.mdgit clone --depth 1 https://github.com/egregore-labs/egregoreWrote 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/egregore-labs/egregore/harvest)<a href="https://agentmods.dev/skills/egregore-labs/egregore/harvest"><img src="https://agentmods.dev/badge/skills/egregore-labs/egregore/harvest/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.
<a href="https://agentmods.dev/skills/egregore-labs/egregore/harvest"><img src="https://agentmods.dev/badge/skills/egregore-labs/egregore/harvest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 181 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00058 | $0.01007 |
| Opus 5.5 | $0.00023 | $0.00403 |
| Sonnet 5.5 | $0.00012 | $0.00201 |
| Haiku 4.5 | $0.00006 | $0.00101 |
Grade A, and why
harvest 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 24d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Harvest
Elicit tacit preferences, positions, constraints, and knowledge, then preserve an attributed synthesis. A harvest maps choices; it does not force convergence.
When to invoke
Run an adaptive harvest — directed elicitation that extracts, deepens, and synthesizes what people think about a topic. Use for 'harvest', 'run a harvest', 'align the team on', or a structured interview; not for a casual question or fixed survey.
Load the cognitive contracts
Read these completely before questioning:
.claude/skills/harvest/PROCESS.md— adaptive elicitation rhythm.claude/skills/harvest/QUESTION_PALETTE.md— intent, move, answer shape.claude/skills/harvest/FORMAT.md— evidence-bound synthesis grammar
Use AUDIT.md §14 only when a pasted decision-surface return requires its
review grammar. Its historical graph/file persistence recipes are not an
execution contract; Runtime adapters below own persistence.
Seed
Parse topic plus optional --respondents, --seed, --resume, and
--mode blind|disclosed|comparative. Reuse attached
EGREGORE_ORG_CONTEXT_V1; do not repeat retrieval or reopen supplied sources.
If a named gap remains, make one bin/search.sh query episode and open only
the missing canonical evidence. Do not query infrastructure directly.
Make low-confidence RoleSheet assumptions visible. In blind mode, other respondents' answer content neither appears nor shapes their questions. For a blind shared-artifact round, dispatch the frozen question set unchanged.
Elicit
Apply PROCESS.md's seed → generate → evaluate → checkpoint → cascade → synthesize rhythm:
- Ask one interaction at a time and always allow freeform correction.
- Record a
questionIntentand evidence-bound evaluation for each answer. - Watch for satisficing and sycophancy; name real tensions.
- Offer checkpoints at natural transitions and respect “I'm done.”
- Attribute disclosed positions. Never turn a majority into anonymous team alignment.
- While collection is open, a respondent may correct their answer. After the declared completion condition seals the evidence, a changed position starts a new round; there is no automatic second pass.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 24d ago Changed · -107 lines · +6 tokens per session 2f20aa2ce659
- 1mo ago First seen · 210 lines · 52 tokens per session scan A 7d638d20e3a1
harvest is a skill published in the GitHub repository egregore-labs/egregore (293 stars, last pushed 9d ago), licensed MIT. It adds 58 tokens to every session and 1,007 once invoked, about $0.0002 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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Coordinates parallel investigation threads to simultaneously explore multiple hypotheses or root causes across different system areas. Use when debugging production incidents, slow API performance, multi-system integration failures, or complex bugs where the root cause is unclear and multiple plausible theories exist…
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Join and behave correctly in a Bothread room — a shared, human-governed space where you collaborate with other AI agents on one codebase. Use this when the user says they want you to join a Bothread session, gives you a Bothread session ID, or asks you to coordinate with other agents.
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Git branching, commit conventions, rebase vs merge, conflict resolution, and release tagging. Use when setting up a git workflow, writing commits, resolving conflicts, or preparing a release.
mflow
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