dossier SKILL.md skillA
dossier 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/dossier@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/dossier/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261105.0d95dc2, committed Nov 5, 2026
- Size
- 38,197 bytes
- Repository stars
- 262
- License
- a license file GitHub does not identify
Find, or write if it is missing, the dossier an optimization campaign starts from, for one model, workload and GPU target. When a campaign's gains run small, it says so and ranks kernel rewrites, each written up as a kernel plan. It first looks for an existing dossier and uses it, refreshing only stale parts. A dossier covers model and framework architecture, a method-by-method reading of the served code, the workload and the CPU work it causes, the target and the baseline, a profile, which…
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
# The dossier: what to know before optimizing Audience: an agent (or a person) about to optimize a model on a GPU target, or asked what to optimize. The dossier answers, in order and with sources, what the campaign would otherwise rediscover. In earlier campaigns, each of these cost a plan its result or its time: - a knob aimed at a fused kernel that never ran; - a kernel-boundary win that graph capture had already amortized; - a nominal concurrency turned out to put far fewer requests in flight, and far fewer rows per step, than its label; - profiles across several plans captured the client's warmup instead of the measured load; - one plan's best possible gain sat far below its noise floor; - AITER's tuned MoE table had no row for the model's shapes, so every token tier ran the untuned fallback. Kernel usage (part 8) is in [kernels.md](kernels.md); how to write up a kernel rewrite, part 11's other kind of direction, is in [kernel-plan.md](kernel-plan.md); the dossier's skeleton is [template.md](template.md). Profiles come from the `profiler` skill. In an Arbor campaign, a pack makes this skill available with `skills: [dossier]` in …
Read the whole file at its exact version.
How to install
mdr add amd-agi/hyperloom/dossier@sha256:24f9f0dfac6cf727The 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_kcc7tf25qh7eaqlf)
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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 (38197 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_kcc7tf25qh7eaqlf GET https://markdownregistry.com/api/v1/resolve?ref=amd-agi/hyperloom/dossier GET https://markdownregistry.com/api/v1/blob/24f9f0dfac6cf727eb14310b383240326eca1c6d6f868c9149f0b98d9850b492
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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