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made-it-wrong-retro

Retro on a `make-it-right` run: finds where it missed a problem, kept a false alarm, made a bad fix, or skipped a step, proves each lesson with a failing replay at the lowest level that shows it, and proposes the edit to make-it-right. Also prunes rules that never fire. Use when the user says "made it wrong", "retro make-it-right", "make-it-right missed this", "why didn't make-it-right catch", "the reviewer found what make-it-right didn't", "teach make-it-right", "prune make-it-right", or after a PR that went through make-it-right gets review comments or fix commits.

77

Quality

97%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

96%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

An exceptionally tight procedural skill: concrete commands, exact file formats, a numbered workflow with genuine red/green validation gates, user-approval checkpoints, and thoughtful gotchas (model pinning for plugin subagents, tmp-folder lifetime). The only structural gap is that all operational detail lives in SKILL.md itself with no references, which is defensible for a workflow this size but leaves the longest tables (replay levels, lesson kinds) inlined in the overview.

Suggestions

Consider moving the step-3 replay-level table and the lesson-kind table into a references/ file (e.g., references/replay-levels.md) so SKILL.md stays a lean overview and the detail loads only when routing lessons.

The step-2 routing decision tree could be extracted alongside the replay table, keeping the seven-step skeleton and pass conditions in the main body.

If the file grows further (the skill itself warns at 180 lines for make-it-right), apply its own prune guidance to itself: the Gotchas section is a natural candidate for a one-level-deep reference.

DimensionReasoningScore

Conciseness

The body is lean and dense: no concept explanations, no preamble, no padding. Every line carries an instruction, an exact path, a command, or a decision rule (e.g., "Can't make it fail in three tries → drop the lesson and say why"). It fully assumes Claude's competence.

5 / 5

Actionability

Guidance is concrete and executable throughout: exact commands ("claude -p --model <id>", "git log --grep '^Lesson:' <prune>..HEAD"), exact file paths and row formats ("date | target file | repo | base sha | run folder | pass condition"), a replay table mapping each target to its level, and explicit pass conditions. Absence of full code is fine for an orchestration skill; the guidance is copy-paste ready where deterministic.

5 / 5

Workflow Clarity

Seven explicitly numbered steps with strong validation checkpoints and feedback loops: red must fail for the claimed reason with a three-try drop rule and "fix the setup, never the pass condition"; green requires 2-of-3 reruns plus regression against every saved case targeting the same file ("A case that breaks blocks the edit"); edits apply only on user approval. This exceeds the top anchor.

5 / 5

Progressive Disclosure

Well-organized single-file structure with clear section headers, tables, and a Gotchas section, and no wasted cross-references — but there is no progressive-disclosure structure at all: at ~146 lines everything (replay-level table, lesson-kind table, routing rules, gotchas) is inlined in SKILL.md, and the rubric's allowance for scoring 5 without external references applies only to skills under 50 lines. It fits anchor 4 (good structure, minor organization gaps) rather than anchor 5, which expects content appropriately split across well-signaled references.

4 / 5

Total

19

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is a model example: comprehensive and concrete about what the skill does, with an explicit and natural set of "Use when..." triggers covering direct invocations, frustration phrasings, and a situational trigger. It is distinct from neighboring skills because every capability and trigger is anchored to make-it-right.

DimensionReasoningScore

Specificity

The description enumerates multiple concrete, comprehensive actions for its niche: "finds where it missed a problem, kept a false alarm, made a bad fix, or skipped a step, proves each lesson with a failing replay at the lowest level that shows it, and proposes the edit to make-it-right. Also prunes rules that never fire." Nothing is vague or padded; every capability is named.

5 / 5

Completeness

It explicitly answers both questions: the "what" (retro, find, prove via replay, propose edit, prune) and an explicit "Use when the user says..." clause with concrete trigger phrases and a post-PR condition. This matches the top completeness anchor exactly.

5 / 5

Trigger Term Quality

Trigger phrases are natural user speech with good variation: "made it wrong", "retro make-it-right", "make-it-right missed this", "why didn't make-it-right catch", "teach make-it-right", "prune make-it-right", plus the situational trigger "after a PR that went through make-it-right gets review comments or fix commits".

5 / 5

Distinctiveness Conflict Risk

A clear niche (retrospectives on make-it-right runs) with triggers all keyed to make-it-right; no generic language that would collide with other skills. Voice is consistently third person ("finds", "proves", "proposes", "prunes").

5 / 5

Total

20

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

15

/

16

Passed

Repository

RoleModel/rolemodel-skills

Path

skills/made-it-wrong-retro/SKILL.md

Reviewed

Table of Contents

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