agent-evaluation SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
agent-evaluation from francostino/opencode-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add francostino/opencode-skills-collection/agent-evaluation@git:20260906.7d37dc9Pins git:20260906.7d37dc9 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- francostino/opencode-skills-collection
- Path
bundled-skills/agent-evaluation/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260906.7d37dc9, committed Sep 6, 2026
- First version recorded
- Apr 7, 2026
- Size
- 7,810 bytes
- Repository stars
- 87
- License
- MIT
Evaluate agent behavior with versioned cases and explicit verifiers. Use when comparing agent or prompt changes, reproducing failures, or running agent regression tests.
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
# Agent Evaluation Evaluate observable agent behavior against task-specific cases. Modified by AAS maintainers on 2026-09-05 to remove unsupported benchmark claims, correct uncertainty/error reporting and separate optional architecture sketches from the operating procedure. ## When to Use Use when comparing a changed agent, prompt or tool configuration, reproducing an observed failure, or estimating reliability on a declared task distribution. Do not infer product readiness from a public benchmark percentage or a generic score threshold. ## Prerequisites - A versioned case set with expected observable outcomes and permission boundaries. - A known baseline and candidate revision, including model, prompt, tools, configuration and runtime versions. - Authorized synthetic or redacted inputs, isolated targets and a bounded token, time and cost budget. - A verifier that distinguishes wrong outcomes, expected safe rejections, evaluator failures and infrastructure outages. Provider access is needed only if the declared evaluation calls that provider. ## Evaluation procedure …
Read the whole file at its exact version.
How to install
mdr add francostino/opencode-skills-collection/agent-evaluation@sha256:35a81463e739fbd8The line at the top of this page pins the label git:20260906.7d37dc9, 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_rbemjijznlarcy2b)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Apr 7, 2026 and Sep 6, 2026, about one every 76 days. Its first recorded version is graded B and its latest A.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260906.7d37dc9 latest | 2026-09-06 | 7d37dc9 | 7,810 B | A | view · diff |
| git:20260413.f8e0038 | 2026-04-13 | f8e0038 | 36,957 B | B | view · diff |
| git:20260407.4b28f5b | 2026-04-07 | 4b28f5b | 36,639 B | B | 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 (7810 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
francostino/opencode-skills-collection · 87 stars · license MIT · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_rbemjijznlarcy2b GET https://markdownregistry.com/api/v1/resolve?ref=francostino/opencode-skills-collection/agent-evaluation GET https://markdownregistry.com/api/v1/blob/35a81463e739fbd8021e6e775c14440ed0b6d264f1ec83b6ea9ddd3909b86d3f
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.
More from francostino/opencode-skills-collection
Every file in francostino/opencode-skills-collection