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subagent

Protocol that evo optimization subagents follow when dispatched from /optimize. Auto-loaded by spawned subagents via their host's skill loader. The orchestrator may also invoke this skill to understand the brief shape its dispatched subagents expect + what they're required to emit -- useful when writing briefs or debugging a subagent's behavior.

66

Quality

81%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

88%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.

The body is a highly actionable, well-sequenced protocol with strong validation checkpoints and feedback loops, and it leans on external references for bulk detail. It is slightly long, which keeps conciseness and progressive disclosure just short of full marks.

DimensionReasoningScore

Conciseness

Largely lean and operational, assuming Claude's competence (no basic-concept explanations), though a few sections like the telemetry-feedback block and the directives banner carry detail that could be trimmed slightly.

4 / 5

Actionability

Fully executable throughout — copy-paste evo CLI commands, exact Task() subagent invocations with prompt strings, JSON output shapes, and concrete file paths cover the common cases.

5 / 5

Workflow Clarity

The iteration loop is explicitly numbered (steps 0–9) with a mandatory pre-run verifier checkpoint, 'address every block finding and re-invoke until passed: true' feedback loop, gate checks, and bounded retry logic — matching the anchor-5 validation pattern.

5 / 5

Progressive Disclosure

Clear section structure and a well-signaled reference tree pointing one level deep to cli-quick-reference.md, verifier.md, and finetuning references; the core protocol is appropriately inline but the body is long and a few inline reference lists could live in separate files.

4 / 5

Total

18

/

20

Passed

Description

73%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 clearly establishes a distinct niche and answers both 'what' and 'when' with explicit trigger phrases, using correct third-person voice. It is slightly more purpose-oriented than action-oriented, keeping specificity in the mid range.

DimensionReasoningScore

Specificity

Names the domain ('evo optimization subagents') and a couple of concrete behaviors ('follow when dispatched from /optimize', 'understand the brief shape', 'debugging a subagent's behavior'), but these read as purpose/role rather than a comprehensive list of concrete actions.

3 / 5

Completeness

States both what it is ('Protocol that evo optimization subagents follow') and when to use it ('when dispatched from /optimize', 'useful when writing briefs or debugging a subagent's behavior'); the 'when' is explicit but slightly dense rather than crisp.

4 / 5

Trigger Term Quality

Good coverage of natural terms for the niche — '/optimize', 'subagent', 'dispatched', 'brief', 'orchestrator' — which a user managing evo runs would actually say; a few common synonyms are absent.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (evo optimization subagent protocol auto-loaded from /optimize) with distinct triggers and minimal overlap risk with unrelated skills.

5 / 5

Total

16

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

referenced_paths_exist

Referenced path issues: 2 missing

Warning

Total

14

/

16

Passed

Repository
evo-hq/evo
Reviewed

Table of Contents

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