How do I install the Reviewing Ml Prior Art Survey skill?

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Is Reviewing Ml Prior Art Survey free to use?

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Who published Reviewing Ml Prior Art Survey?

bm629 (@bm629) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Reviewing Ml Prior Art Survey by bm629

Name: Reviewing Ml Prior Art Survey
Author: bm629

Reviewing Ml Prior Art Survey

Use when reviewing an artifact produced by ml-prior-art-survey — an ML task vocabulary map, one angle's search output, one artifact's extract record, or the option register and its report — and deciding whether it can be built on. Judges against numbered conditions covering canonical terms the corpus actually uses, per-angle applicability verdicts in both directions, verbatim query recording, the recorded zero, cause evidence on every unreached source, the evaluation frame behind any leaderboard result, authority as a ranking rather than a cut, and the absence-as-finding rule. Also judges whether each adoption-ladder descent's reason is true of the record it names, and whether any figure was recomputed on its way into the register. Emits exactly one VERDICT approve or revise, with findings naming their condition, and does not revise a thin-but-honest result. Keywords: ML prior-art review, model survey review, survey quality gate, coverage review.

bm629 Updated Sep 17, 2026

File contents

Reviewing an ML prior-art artifact (wave 1)

You are the judgment half of a two-part gate. The deterministic half has already run: shape, enums, ranges, arithmetic and reconciliation are checked by validate_ml_prior_art.py, and an artifact reaching you has passed it at exit 0.

So never report what the validator already checks. If your finding could have been produced by the script, it is not a review finding — and repeating it costs a revise round on work that was correct.

What you judge

references/conditions.md is the single source of the bar. Read it and judge against it. The producer skill assigns every duty; these conditions say how each is JUDGED, and add none of their own.

Your evidence, and where it lives

evidence	where
the artifact	handed to you in the task
the wave-0 vocabulary map	handed to you alongside a search output — a separate input, not part of the artifact
the schemas	`ml-prior-art-survey/schemas/`
the source registry	`ml-prior-art-survey/references/source-registry.yaml`
the angle reference	`ml-prior-art-survey/references/angles/<angle_id>.md`

Three of those five live in the PRODUCER package. C2 needs the map — its whole test is a candidate's evidence against the group its found_by names. C10 and C15 need the angle reference and the registry, and deriving an angle's source list from the artifact is circular: an artifact that omits a source omits it from any list you read off it.

If you cannot reach what a condition names, say so and emit no verdict on that condition rather than downgrading it silently.

Anything you cannot ground in those five is an OBSERVATION, not a finding — say it as one, plainly, and do not attach a condition to it. An ungrounded finding costs a revise round on correct work, and at the revision cap it parks the ticket. That is the price of guessing.

Read `outcome` first

It decides which conditions apply at all.

`outcome`	what is owed	what the coverage conditions expect
`ran`	cells, and candidates if anything was admitted	every owed (group × source) pair has a cell
`not_run`	NOTHING — the map's own verdict ruled this angle out	no cells and no candidates is CORRECT
`vacated`	cells and causes; no candidates	cells as for `ran`; an empty candidate list is not a gap

A not_run artifact has no cell for any pair, and the deterministic gate REQUIRES that. Reading a coverage condition against it would revise work the other half of the gate certified.

Proportionality

A thin result is not a failed result. A task with three published models yields three, and a survey that says so honestly is complete. Revise only on a named gap against a numbered condition — never because the artifact could have been longer.

Output

Findings, each naming its condition, then exactly one terminal line:

VERDICT: approve

VERDICT: revise

Nothing after it.

Upstream remedies

If a finding's remedy lies OUTSIDE the file this artifact's author was asked to write — the map, a registry row, another angle's output — they cannot perform it, and ordering the revision anyway burns cycles and ends somewhere naming neither the artifact nor the inconsistency.

Label it UPSTREAM: and name the exact file and field that must change. One that names no target is a finding you could not localise, and it belongs in Observations.

A file whose every finding is UPSTREAM gets approve. You judge THIS artifact against its own contract; if it satisfies that contract and the defect is elsewhere, it is not the defective thing. Reserve revise for a remedy the author can actually perform. There is no third verdict — escalation is for whoever dispatched you, not for you.

---name: reviewing-ml-prior-art-surveydescription: Use when reviewing an artifact produced by ml-prior-art-survey — an ML task vocabulary map, one angle's search output, one artifact's extract record, or the option register and its report — and deciding whether it can be built on. Judges against numbered conditions covering canonical terms the corpus actually uses, per-angle applicability verdicts in both directions, verbatim query recording, the recorded zero, cause evidence on every unreached source, the evaluation frame behind any leaderboard result, authority as a ranking rather than a cut, and the absence-as-finding rule. Also judges whether each adoption-ladder descent's reason is true of the record it names, and whether any figure was recomputed on its way into the register. Emits exactly one VERDICT approve or revise, with findings naming their condition, and does not revise a thin-but-honest result. Keywords: ML prior-art review, model survey review, survey quality gate, coverage review.---# Reviewing an ML prior-art artifact (wave 1)You are the judgment half of a two-part gate. The deterministic half has already run: shape, enums,ranges, arithmetic and reconciliation are checked by `validate_ml_prior_art.py`, and an artifactreaching you has passed it at exit 0.**So never report what the validator already checks.** If your finding could have been produced bythe script, it is not a review finding — and repeating it costs a revise round on work that wascorrect.## What you judge`references/conditions.md` is the single source of the bar. Read it and judge against it. Theproducer skill assigns every duty; these conditions say how each is JUDGED, and add none of theirown.## Your evidence, and where it lives| evidence | where || --- | --- || the artifact | handed to you in the task || **the wave-0 vocabulary map** | handed to you alongside a search output — a separate input, not part of the artifact || the schemas | `ml-prior-art-survey/schemas/` || the source registry | `ml-prior-art-survey/references/source-registry.yaml` || the angle reference | `ml-prior-art-survey/references/angles/<angle_id>.md` |**Three of those five live in the PRODUCER package.** C2 needs the map — its whole test is acandidate's evidence against the group its `found_by` names. C10 and C15 need the angle referenceand the registry, and deriving an angle's source list from the artifact is circular: an artifactthat omits a source omits it from any list you read off it.**If you cannot reach what a condition names, say so and emit no verdict on that condition**rather than downgrading it silently.**Anything you cannot ground in those five is an OBSERVATION, not a finding** — say it as one,plainly, and do not attach a condition to it. An ungrounded finding costs a revise round on correctwork, and at the revision cap it parks the ticket. That is the price of guessing.## Read `outcome` firstIt decides which conditions apply at all.| `outcome` | what is owed | what the coverage conditions expect || --- | --- | --- || `ran` | cells, and candidates if anything was admitted | every owed (group × source) pair has a cell || `not_run` | NOTHING — the map's own verdict ruled this angle out | no cells and no candidates is CORRECT || `vacated` | cells and causes; no candidates | cells as for `ran`; an empty candidate list is not a gap |A `not_run` artifact has no cell for any pair, and the deterministic gate REQUIRES that. Reading acoverage condition against it would revise work the other half of the gate certified.## ProportionalityA thin result is not a failed result. A task with three published models yields three, and a surveythat says so honestly is complete. **Revise only on a named gap against a numbered condition** —never because the artifact could have been longer.## OutputFindings, each naming its condition, then exactly one terminal line:```VERDICT: approve```or```VERDICT: revise```Nothing after it.## Upstream remediesIf a finding's remedy lies OUTSIDE the file this artifact's author was asked to write — the map, aregistry row, another angle's output — they cannot perform it, and ordering the revision anywayburns cycles and ends somewhere naming neither the artifact nor the inconsistency.Label it `UPSTREAM:` and **name the exact file and field that must change**. One that names notarget is a finding you could not localise, and it belongs in Observations.**A file whose every finding is UPSTREAM gets `approve`.** You judge THIS artifact against its owncontract; if it satisfies that contract and the defect is elsewhere, it is not the defective thing.Reserve `revise` for a remedy the author can actually perform. There is no third verdict —escalation is for whoever dispatched you, not for you.

Frequently asked questions