knowledge-collector SKILL.md skillA
knowledge-collector from amd-agi/hyperloom is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add amd-agi/hyperloom/knowledge-collector@git:20261105.0d95dc2Pins git:20261105.0d95dc2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- amd-agi/hyperloom
- Path
src/hyperloom_arbor/.claude/skills/knowledge-collector/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261105.0d95dc2, committed Nov 5, 2026
- Size
- 5,293 bytes
- Repository stars
- 262
- License
- a license file GitHub does not identify
Share what an Arbor campaign learned so the next campaign on the model starts from it, and read what earlier campaigns learned. Collects each iteration's outcome and why (kept, reverted, probed, not measured), the ledger's facts, assumptions and dead ends, profile reports, the dossier, and the patches, with a manifest, and pushes them to the shared volume. Use at the end of a campaign or chunk, after a profile or a kept change, when asked to share or archive a campaign's results, or before…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Knowledge collector: what a campaign learned, for the next one Audience: whoever runs or ends an Arbor campaign, and whoever starts the next one on the same model. The collector is `python3 -m arbor.collect knowledge` (`arbor/collect/knowledge.py`, standard library only). Access to the share, and the project, user and campaign names, are set up as in the `realtime-collector` skill; the same flags and variables apply here. ## What it collects One directory per type, staged in `<session>/collector/knowledge/<type>/` and pushed to `/path/to/arbor-share/projects/<project>/<user>/<campaign>/knowledge/<type>/`: | Type | Files | From | | --- | --- | --- | | `summary` | `SUMMARY.md`; `manifest.json` (every file with size and sha256, and what was skipped) | everything below | | `outcomes` | `OUTCOMES.md`, `outcomes.jsonl`: each iteration kept, reverted, probed or not measured, with what changed and why | `session.json`'s lessons | | `findings` | `FINDINGS.md`, `findings.jsonl`: facts, assumptions, unknowns and dead ends, with evidence, falsifier and when to revisit | `ledger.jsonl`, the latest record per id | …
Read the whole file at its exact version.
How to install
mdr add amd-agi/hyperloom/knowledge-collector@sha256:e9b7a3a1d3f8a3e3The line at the top of this page pins the label git:20261105.0d95dc2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_xjybj77ige6xj7lq)
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Versions
The registry has recorded 1 version of this file, committed on Nov 5, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5293 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
amd-agi/hyperloom · 262 stars · license a license file GitHub does not identify · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_xjybj77ige6xj7lq GET https://markdownregistry.com/api/v1/resolve?ref=amd-agi/hyperloom/knowledge-collector GET https://markdownregistry.com/api/v1/blob/e9b7a3a1d3f8a3e33497d145b83e2621c7426b48458ece30a57de99588a67eec
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.