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skvm-jit

Trigger `skvm jit-optimize` with post-task evidence so it generates a reviewable optimization proposal for a skill. Use after finishing a task that was driven by any skill (not just SkVM-compiled ones) when the outcome was a failure, was partial, or the skill's instructions clearly caused confusion or an unnecessary detour. Clean successful runs usually do not need an optimization pass. For general skvm usage (profile/aot-compile/bench/proposals), use the sibling `skvm-general` skill instead.

72

Quality

88%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Critical

Do not install without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

The skill is highly actionable with a clear, well-guarded workflow, but it is somewhat verbose with repeated flag rationale and an inline reference section that restates earlier content. The referenced adapter-skill-paths.md file is missing, which weakens progressive disclosure.

Suggestions

Add the referenced `adapter-skill-paths.md` sibling file (or place it under a `references/` directory) so the one-level-deep navigation actually resolves.

Consolidate the --task-source and --target-model rationale into a single place; remove the duplication between the command block, the required-params list, and the 'What NOT to pass' section.

Trim or fold the closing 'Reference: what happens on the skvm side' section, since it restates the detach behavior, run-status.json phases, and proposal keying already covered in Step 3.

DimensionReasoningScore

Conciseness

The body is mostly efficient with concrete commands, but repeats flag rationale across the command block, the required-params list, and the 'What NOT to pass' section, and the long --target-model paragraph and closing 'Reference' section restate details already covered — could be tightened.

2 / 3

Actionability

Provides a copy-paste-ready `skvm jit-optimize` command with all required and optional flags, concrete report.json/conv-log.jsonl schemas, and an explicit instruction to capture the id from the 'Proposal: ' line — fully executable guidance.

3 / 3

Workflow Clarity

A clear 4-step sequence with explicit error checkpoints — non-zero exits ('read the stderr message and stop'), the 'another optimization is in progress' case, and guardrails against directly editing the skill directory — plus feedback loops for error recovery.

3 / 3

Progressive Disclosure

It correctly signals a one-level-deep reference (adapter-skill-paths.md) for per-harness skill paths, but no bundle directory exists and that referenced sibling file is absent on disk, so navigation is undermined; some guidance that could be split (the --target-model derivation) is inline.

2 / 3

Total

10

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12

Passed

Description

100%

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 strong across all dimensions: it states concrete actions, gives explicit 'Use after...' trigger guidance with natural phrasing, and clearly distinguishes itself from the sibling skvm-general skill. No changes needed.

DimensionReasoningScore

Specificity

Names concrete actions — 'Trigger `skvm jit-optimize`' and 'generates a reviewable optimization proposal for a skill' — listing multiple specific operations rather than vague language.

3 / 3

Completeness

Explicitly answers both what ('Trigger `skvm jit-optimize`...generates a reviewable optimization proposal') and when ('Use after finishing a task that was driven by any skill...when the outcome was a failure, was partial...'), with an explicit 'Use after...' trigger clause.

3 / 3

Trigger Term Quality

Uses natural post-task phrasings a user would say — 'outcome was a failure, was partial', 'skill's instructions clearly caused confusion', 'unnecessary detour' — with good coverage of common variations.

3 / 3

Distinctiveness Conflict Risk

Carves a clear niche (post-task optimization) and explicitly routes general skvm usage away to 'the sibling `skvm-general` skill instead', making it unlikely to trigger for the wrong skill.

3 / 3

Total

12

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
XiaoLuoLYG/GOD
Reviewed

Table of Contents

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