agami-eval SKILL.md skillA
agami-eval from agamiai/agami-core is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add agamiai/agami-core/agami-eval@git:20261011.c18f7cdPins git:20261011.c18f7cd in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- agamiai/agami-core
- Path
plugins/agami/skills/agami-eval/SKILL.md- Versions recorded
- 7
- Latest version
- git:20261011.c18f7cd, committed Oct 11, 2026
- First version recorded
- Aug 29, 2026
- Size
- 18,844 bytes
- Repository stars
- 29
- License
- a license file GitHub does not identify
Runs the golden evaluation harness for a profile. Picks one golden dataset, regenerates SQL for every question in it, executes each statement against the org's own warehouse, scores the result against the confirmed answer key, and reports the verdicts — failures first, with the errored, the unscored and the unconfirmed each kept separate. Scoring is deterministic and happens in agami-core; the skill reports it and never re-judges it. Neither the answer key nor the generated statement is…
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
# agami eval You are running the golden evaluation harness. Goal: take a dataset of questions whose answers are already agreed, have the model answer each one again from today's semantic model, execute both statements, and report where the two disagree. A dataset is the profile's own regression suite — the run says whether the model still answers the questions this team already signed off on, and each disagreement is a concrete thing to fix (a drifted metric, a missing filter, a join that changed shape). This skill orchestrates: 1. **List** the profile's datasets, before anything expensive runs. 2. **Choose** one — the only one, the one named, or the one the user picks. 3. **Run** it via `scripts/run_golden_eval.py`, which generates, executes and scores every case. 4. **Present** the verdicts in the order the script emitted them, failures first. 5. **Point** at the run's report — and the JSON beside it — for the drill-down the terminal deliberately withholds. Spec for the deterministic half: [`scripts/run_golden_eval.py`](../../scripts/run_golden_eval.py) (dataset choice + schema rendering + the printed payload). The scoring itself is agami-core's. ## Conversation style …
Read the whole file at its exact version.
How to install
mdr add agamiai/agami-core/agami-eval@sha256:333927e63ef8f736The line at the top of this page pins the label git:20261011.c18f7cd, 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_cnkf5lfmiycqcqby)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between Aug 29, 2026 and Oct 11, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261011.c18f7cd latest | 2026-10-11 | c18f7cd | 18,844 B | A | view · diff |
| git:20260913.4eb31a6 | 2026-09-13 | 4eb31a6 | 18,821 B | A | view · diff |
| git:20260907.15bb2b7 | 2026-09-07 | 15bb2b7 | 18,297 B | A | view · diff |
| git:20260907.2c25906 | 2026-09-07 | 2c25906 | 17,475 B | A | view · diff |
| git:20260829.2ecf39f | 2026-08-29 | 2ecf39f | 16,214 B | A | view · diff |
| git:20260829.8f2eaa7 | 2026-08-29 | 8f2eaa7 | 16,376 B | A | view · diff |
| git:20260829.3f0ece1 | 2026-08-29 | 3f0ece1 | 15,697 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 (18844 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
agamiai/agami-core · 29 stars · license a license file GitHub does not identify · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_cnkf5lfmiycqcqby GET https://markdownregistry.com/api/v1/resolve?ref=agamiai/agami-core/agami-eval GET https://markdownregistry.com/api/v1/blob/333927e63ef8f736217b521287e9511cef3a04fdda75fcba77234ac146129d5f
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.