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oma-market

Market research skill for pain-point extraction, trend detection, competitor positioning, and discovery across community sources (Reddit, HN, Bluesky, Mastodon, GitHub Issues, web). Built-in harvest fetchers, deterministic CLI compute, intent-auto SWOT/Porter's 5F/PESTEL frameworks. Use for market research, pain point analysis, trend detection, competitor research, user complaints, voice-of-customer, 시장조사, 사용자 페인, 트렌드, 경쟁구도.

75

Quality

92%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

85%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 content is highly actionable with a well-sequenced, validation-rich workflow and concrete executable commands. Its main weaknesses are four-way restatement of the same pipeline (conciseness) and a dense body with referenced resource files that are absent from the bundle (progressive disclosure).

Suggestions

Collapse one of the four pipeline restatements (Scenes, Default Workflow, Actions table, or Canonical command path) into the others to remove redundancy and recover token budget.

Move the Routes and Guardrails detail tables into a referenced resources file, leaving SKILL.md as a leaner overview that points to them.

Verify the referenced resources/*.md and ../_shared/core/*.md files actually ship in the skill bundle so the References links resolve when the skill is loaded.

DimensionReasoningScore

Conciseness

The body is dense and assumes Claude's competence (no basic-concept explanations), but the same five-stage pipeline is restated four ways — Scenes (PREPARE/ACT/ACQUIRE/VERIFY/FINALIZE), Default Workflow, the Actions table, and the Canonical command path — which is more than minor redundancy. It stays efficient but could be tightened by collapsing one of the restatements.

4 / 5

Actionability

Fully executable guidance throughout: a copy-paste bash pipeline in the Canonical command path, concrete subcommands (detect-trap, harvest, score, fuse, cluster, render), invocation examples, and specific parameters (RRF k=60, MMR lambda=0.75, overlap >= 0.4, per-source-limit 12).

5 / 5

Workflow Clarity

The multi-step process is clearly sequenced with explicit validation checkpoints and feedback loops: detect-trap preflight, 'validate JSON at each pipe stage', LAW self-check before file write, and 'If errors: fix and re-validate' recovery — satisfying the batch/destructive-operation validation requirement rather than triggering the cap-at-3 rule.

5 / 5

Progressive Disclosure

A References section clearly signals one-level-deep resource paths, but the body inlines substantial operational detail (Routes, Actions, Guardrails, Default Workflow) that reads as overview-plus-detail rather than a lean pointer, and the referenced resources/*.md files are not present in the bundle to verify navigation resolves.

3 / 5

Total

17

/

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 exemplary: specific actions, comprehensive natural trigger terms in two languages, explicit what/when guidance, and a clearly distinct niche. It earns top marks on every dimension with no padding.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'pain-point extraction, trend detection, competitor positioning, and discovery' — plus specific mechanisms ('Built-in harvest fetchers, deterministic CLI compute, intent-auto SWOT/Porter's 5F/PESTEL frameworks'), giving comprehensive coverage rather than vague claims.

5 / 5

Completeness

Explicitly answers both 'what' (the four research modes plus CLI/framework mechanics) and 'when' via a clear 'Use for ...' clause enumerating concrete trigger phrases, matching the anchor for full completeness.

5 / 5

Trigger Term Quality

Natural trigger phrases users would actually say are densely packed — 'market research, pain point analysis, trend detection, competitor research, user complaints, voice-of-customer' — with synonyms and Korean equivalents (시장조사, 사용자 페인, 트렌드, 경쟁구도) for comprehensive coverage.

5 / 5

Distinctiveness Conflict Risk

The niche is sharply carved — community-source market intelligence across named platforms (Reddit, HN, Bluesky, Mastodon, GitHub Issues) with strategic-framework auto-application — giving it distinct triggers and minimal overlap with general search or doc skills.

5 / 5

Total

20

/

20

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
first-fluke/oh-my-agent
Reviewed

Table of Contents

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