evaluate SKILL.md skillA
evaluate from skillberry-ai/cap-evolve is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add skillberry-ai/cap-evolve/evaluate@git:20260822.81c1fd8Pins git:20260822.81c1fd8 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- skillberry-ai/cap-evolve
- Path
skills/phases/evaluate/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260822.81c1fd8, committed Aug 22, 2026
- First version recorded
- Jun 15, 2026
- Size
- 8,515 bytes
- Repository stars
- 66
- License
- Apache-2.0
Score a candidate on a split with honest, variance-aware evaluation. Use whenever you need a number for a candidate (the algorithm calls it internally; you can also call it directly to inspect). Runs the target via the adapter for each task, scores each rollout, aggregates mean + standard error, and reports pass^k when trials > 1. Never touches the test split (that is finalize's sealed job).
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
# evaluate — honest, multi-trial scoring Turns a candidate into a score you can *trust*. A reward number is only as honest as the variance around it and as the denominator under it: agents are stochastic, and infrastructure fails. evaluate produces a point estimate, its uncertainty, and the count of tasks that actually produced a measurement. The math lives in `cap_evolve.stats`; this skill drives the adapter and aggregates. ## What it produces A `SplitResult` (`core/cap_evolve/loop.py:59-115`): - **`reward`** — the mean, over the tasks that were **scored**, of each task's mean over its **valid** trials (`harness.py:405-414`, `loop.py:127-131`). Not the mean over every task in the split — see the next section. - **`n_tasks` / `n_scored`** (and `coverage = n_scored/n_tasks`, `loop.py:79-84`) — the honest denominator. Read these on every result, never `reward` alone. - **`stderr`** — the *combined* SE of that reported mean: between-task variance (do different tasks agree?) folded with within-task trial variance (is the agent consistent on a fixed task?), `stats.combined_stderr`. This is what the report …
Read the whole file at its exact version.
How to install
mdr add skillberry-ai/cap-evolve/evaluate@sha256:3366d08a36e8385eThe line at the top of this page pins the label git:20260822.81c1fd8, 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_nh7uhoy5by7zrxja)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 15, 2026 and Aug 22, 2026, about one every 17 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260822.81c1fd8 latest | 2026-08-22 | 81c1fd8 | 8,515 B | A | view · diff |
| git:20260822.a5290aa | 2026-08-22 | a5290aa | 8,356 B | A | view · diff |
| git:20260617.92b5c65 | 2026-06-17 | 92b5c65 | 3,976 B | A | view · diff |
| git:20260616.306ff98 | 2026-06-16 | 306ff98 | 3,651 B | A | view · diff |
| git:20260615.59b72de | 2026-06-15 | 59b72de | 3,651 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 (8515 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
skillberry-ai/cap-evolve · 66 stars · license Apache-2.0 · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_nh7uhoy5by7zrxja GET https://markdownregistry.com/api/v1/resolve?ref=skillberry-ai/cap-evolve/evaluate GET https://markdownregistry.com/api/v1/blob/3366d08a36e8385e67076159da169f4c01c917e8d7c8d90427a71cd87c4fb55c
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 skillberry-ai/cap-evolve
Every file in skillberry-ai/cap-evolve