capture-evidence SKILL.md skillA
capture-evidence from understudylabs/orchestra-agent-tools is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add understudylabs/orchestra-agent-tools/capture-evidence@git:20261027.533318ePins git:20261027.533318e in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- understudylabs/orchestra-agent-tools
- Path
skills/capture-evidence/SKILL.md- Versions recorded
- 5
- Latest version
- git:20261027.533318e, committed Oct 27, 2026
- First version recorded
- Aug 30, 2026
- Size
- 13,993 bytes
- Repository stars
- 19
- License
- MIT
Use when a developer wants to build an eval from their real LLM app before changing anything — "measure how my app is doing today", "build an eval from my workload", "we have no baseline", "is my current model actually good". Turns the workload into auditable local artifacts (harness, metric, frozen splits, baseline); has a public-benchmark on-ramp when no traces exist.
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
# Capture Evidence Use this worker when the developer has not yet produced current local evidence for the workload, or when any core artifact is missing, stale, ambiguous, or untrusted. The OSS loop does not require registration, auth, provider keys, an Orchestra account, or hosted gateway access. Do a sufficient local pass that turns the workload into auditable artifacts and can answer the named decision. When the developer names a workload already captured by Orchestra and the active credentials can read it, use the hosted-workload front door in [`references/hosted-workload-eval.md`](references/hosted-workload-eval.md). An active `understudy.eval-project.v2` is a separate, project-local branch: use its exact one-day raw source, author only inside that eval project, and make the coding agent—not the CLI—the conversational frontend. Infer the goal, metric, and failure taxonomy from the traces and repository before asking targeted gap questions. Reconcile any capture references recorded in `source/skipped.jsonl` before making coverage claims. Even without owner confirmation, continue to an explicitly provisional local draft and run `orchestra evals check --draft`. …
Read the whole file at its exact version.
How to install
mdr add understudylabs/orchestra-agent-tools/capture-evidence@sha256:e132d6422f8e07e5The line at the top of this page pins the label git:20261027.533318e, 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_6yddqd4hqswaz3uc)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Aug 30, 2026 and Oct 27, 2026, about one every 15 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261027.533318e latest | 2026-10-27 | 533318e | 13,993 B | A | view · diff |
| git:20261027.3c367b0 | 2026-10-27 | 3c367b0 | 13,996 B | A | view · diff |
| git:20260901.0bfb2e4 | 2026-09-01 | 0bfb2e4 | 14,000 B | A | view · diff |
| git:20260831.fe4ba3e | 2026-08-31 | fe4ba3e | 13,743 B | A | view · diff |
| git:20260830.387ea33 | 2026-08-30 | 387ea33 | 12,959 B | A | view |
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 (13993 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
understudylabs/orchestra-agent-tools · 19 stars · license MIT · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_6yddqd4hqswaz3uc GET https://markdownregistry.com/api/v1/resolve?ref=understudylabs/orchestra-agent-tools/capture-evidence GET https://markdownregistry.com/api/v1/blob/e132d6422f8e07e506041eb2503227c15d14471f919f58df1cbe537f1b77c683
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.