plan SKILL.md skillA
plan 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/plan@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/plan/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261105.0d95dc2, committed Nov 5, 2026
- Size
- 4,784 bytes
- Repository stars
- 262
- License
- a license file GitHub does not identify
Write the plan for an optimization round before the round runs, from the dossier, the ledger and the outcomes of earlier iterations, in the round-plan format (template.md): the directions picked and why, each work item's expected gain against the noise floor, how each is checked, gates with thresholds, stop conditions, sources; then, after the round, settle it item by item. Use when asked to plan a round, turn a dossier's directions into work, decide what a campaign should try next and why, or…
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
# Round plans: decide before the round, settle after it Audience: an agent (or a person) about to start an optimization round, or one that has just finished. Arbor records each iteration (what changed, what the gate said); it does not record why the round tried what it tried, what it expected, or when a failed idea is worth reopening. A round plan carries that, before and after. The skeleton is [template.md](template.md). A planning campaign (pack `model-m-plan`) scores drafts with its linter, `packs/model-m-plan/validator/lint_plan.py`: run `python3 <that file> PLAN.md` to see what a draft is missing. ## Inputs, read in this order 1. **The dossier** (the `dossier` skill finds it). Part 11 (directions) is where work items come from; part 4 says what counts as a win; part 6 gives the floor; parts 7 and 8 give each direction's share of the step and its ceiling; part 10 what was already done. Check each part's status and "stale when" first: a stale part is a source for nothing. 2. **The ledger** (`ledger.jsonl`, or the knowledge collector's `findings/FINDINGS.md`): FACTs to build on, ASSUMPTIONs and UNKNOWNs a …
Read the whole file at its exact version.
How to install
mdr add amd-agi/hyperloom/plan@sha256:33b3a14f447b61c6The 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_26sxc5r5iwp6pzxf)
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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 (4784 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_26sxc5r5iwp6pzxf GET https://markdownregistry.com/api/v1/resolve?ref=amd-agi/hyperloom/plan GET https://markdownregistry.com/api/v1/blob/33b3a14f447b61c625adc715ccd143204eb2743f931f63fd2f97b5ddb95a8f2a
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.
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