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sciomc

Orchestrate parallel scientist agents for comprehensive analysis with AUTO mode

57

Quality

67%

Does it follow best practices?

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SecuritybySnyk

High

Do not use without reviewing

Fix and improve this skill with Tessl

tessl review fix ./skills/sciomc/SKILL.md
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 body is a thorough, actionable orchestration guide with a clearly sequenced, validated workflow, but it is a monolithic single-file document that buries reference-grade material (templates, schemas, regex) inline rather than progressively disclosing it.

Suggestions

Move the report template, regex extraction patterns, and state.json schema into references/ files and link to them one level deep to improve progressive disclosure and reduce the SKILL.md footprint.

Keep the SKILL.md overview focused on the workflow stages and routing decisions, leaving exhaustive reference material to the linked files.

Tighten or trim repeated example blocks (e.g., multiple parallel-invocation snippets that illustrate the same pattern) to improve token efficiency.

DimensionReasoningScore

Conciseness

The ~500-line body is mostly efficient and well-sectioned, but large inline blocks (full report template, regex patterns, state.json schema, figure protocol) could be tightened or externalized rather than occupying the overview.

2 / 3

Actionability

It supplies concrete, copy-oriented guidance: Task invocations with subagent_type/model/prompt, executable regex patterns, an explicit state.json schema, and a full report template.

3 / 3

Workflow Clarity

The Decomposition→Execution→Verification→Synthesis pipeline is explicitly sequenced with a cross-validation feedback loop ([VERIFIED]/[CONFLICTS]), AUTO loop control, promise tags, and a 20-agent concurrency cap with batching.

3 / 3

Progressive Disclosure

No bundle files (references/scripts/assets) exist and the skill is a single monolithic file; content that would naturally live separately (report template, regex reference, state schema) is inline, though sections are well organized.

2 / 3

Total

10

/

12

Passed

Description

57%

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 conveys a clear niche and a concrete core action but relies on skill-internal jargon and omits any explicit 'when to use' trigger, leaving it efficient but not fully self-locating.

Suggestions

Add an explicit 'Use when...' clause naming natural user triggers (e.g., when the user needs broad, multi-angle analysis of a research question or codebase area).

Replace or supplement jargon like 'parallel scientist agents' and 'AUTO mode' with terms a user would naturally say (e.g., 'multi-perspective analysis', 'hands-off mode').

List a second concrete action to lift specificity, e.g., '...decomposes a goal into parallel investigations and synthesizes a verified report.'

DimensionReasoningScore

Specificity

"Orchestrate parallel scientist agents for comprehensive analysis with AUTO mode" names the domain and a concrete action (orchestrate) plus a feature, but does not list multiple specific actions like the score-3 anchor; "comprehensive analysis" is also vague.

2 / 3

Completeness

It states what the skill does but provides no explicit "Use when..." trigger guidance, so per the guideline completeness is capped at 2 with 'when' only implied.

2 / 3

Trigger Term Quality

"comprehensive analysis" is a term a user might say, but "parallel scientist agents" and "AUTO mode" are skill-specific jargon rather than natural user language, and common variations are missing.

2 / 3

Distinctiveness Conflict Risk

"parallel scientist agents for comprehensive analysis with AUTO mode" carves a clear niche unlikely to overlap with unrelated skills, matching the distinct-triggers anchor.

3 / 3

Total

9

/

12

Passed

Validation

81%

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

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (512 lines); consider splitting into references/ and linking

Warning

frontmatter_unknown_keys

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

Warning

relative_links

Relative link issues: 3 missing

Warning

Total

13

/

16

Passed

Repository
Yeachan-Heo/oh-my-claudecode
Reviewed

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