report SKILL.md skillA

report from skillberry-ai/cap-evolve is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add skillberry-ai/cap-evolve/report@git:20260822.57eed81

Pins git:20260822.57eed81 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/report/SKILL.md
Versions recorded
5
Latest version
git:20260822.57eed81, committed Aug 22, 2026
First version recorded
Jun 17, 2026
Size
5,351 bytes
Repository stars
66
License
Apache-2.0

Summarize a run for a human — baseline val → best val → sealed test, the winning candidate, iterations spent, and pass^k. Use after finalize. Writes report.md and prints a compact JSON summary; the source of truth for "did this optimization actually work, and by how much".

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

# report — did it work, and by how much?

The result of a run is not "we made edits" — it is a defensible answer to *did this
actually work, and by how much.* report lays three numbers side by side: where the
seed started (val), where the best candidate landed (val), and the single **held-out
test** number that counts. It is what a human reads to decide whether to ship.

Runs standalone as `/cap-evolve:report`, or headlessly as the last step of
`cap-evolve run` — same `scripts/run.py` either way. report is a phase SCRIPT, not a
`cap-evolve` subcommand; invoke the script.

## How to read the three numbers
The honest reading is always **test vs baseline**, with val as a sanity check in
between. `scripts/run.py` produces the numbers; this is the judgment you add on top:

- **test ≈ baseline** → no real gain. The val improvement was overfitting or noise
  the gate let through. Do not ship; tighten `gate_k_se` or add trials.
- **test ≫ baseline** → genuine improvement on data the optimizer never saw. Ship.
- **val ≫ test** → the classic overfit signature: the optimizer learned the val set,
  not the capability. The reported val→test gap *is* the overfitting, quantified.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add skillberry-ai/cap-evolve/report@sha256:928b88e85168b95c

The line at the top of this page pins the label git:20260822.57eed81, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_yhonq3jxyxag4lht.svg)](https://markdownregistry.com/a/art_yhonq3jxyxag4lht)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Jun 17, 2026 and Aug 22, 2026, about one every 17 days.

versioncommittedcommitsizeaudit
git:20260822.57eed81 latest2026-08-22 57eed81 5,351 BA view · diff
git:20260822.4359e962026-08-22 4359e96 5,338 BA view · diff
git:20260726.1a246042026-07-26 1a24604 6,071 BA view · diff
git:20260617.4c87ed12026-06-17 4c87ed1 5,645 BA view · diff
git:20260617.92b5c652026-06-17 92b5c65 3,415 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5351 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

GitHub

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_yhonq3jxyxag4lht
GET https://markdownregistry.com/api/v1/resolve?ref=skillberry-ai/cap-evolve/report
GET https://markdownregistry.com/api/v1/blob/928b88e85168b95c0e1aab35a39227aa1f3d2c2b5bc305fdca029e1df3f0c93e

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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