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oma-academic-writing

Academic writing capability for publication-grade English prose. Drafts, revises, and audits essays, reports, analysis sections, executive summaries, conclusions, and literature reviews while enforcing sentence-structure variation, high-frequency academic verbs, calibrated hedging, and anti-AI stylistic compliance. USE for academic writing, essay polish, paragraph rewrite, prose revision against any rubric tier (HD/D/C, A/B/C, top-band/mid-band, etc.), anti-AI audit, reverse outlining, claim-evidence mapping, and rubric enforcement on assignments.

68

Quality

81%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

73%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.

A well-structured, actionable academic-writing skill with strong workflow clarity and validation loops. Its main weaknesses are workflow restatement across sections and resource files referenced but not bundled.

Suggestions

Consolidate the workflow into a single canonical sequence; the Scenes, Canonical workflow path, and Actions table currently restate the same steps three times.

Bundle the referenced resources/*.md files (anti-ai-checklist, sentence-structure-reference, academic-verb-tiers, hedging-guide) so the one-level-deep references resolve, or inline the minimal needed content.

Add one short before/after prose revision example so the revise-mode output format is concrete rather than only described.

DimensionReasoningScore

Conciseness

Mostly efficient and free of concepts Claude already knows, but the same workflow is restated three times (Scenes PREPARE/ACQUIRE/ACT/VERIFY/FINALIZE, the Canonical workflow path, and the Actions table), adding noticeable redundancy that could be tightened.

3 / 5

Actionability

Highly concrete guidance for an instruction skill — explicit banned-verb list, sentence-length ranges (8-15/16-25/26-40), em-dash and semicolon quotas, a 3-column Claim-Evidence Map, and a failure/recovery table — with only minor gaps such as no worked before/after prose example.

4 / 5

Workflow Clarity

Clear multi-step sequence (Entry, Scenes, Exit) with explicit validation checkpoints (VERIFY against anti-AI checklist), an iterative audit feedback loop, and a guardrail checklist plus recovery table for error handling.

5 / 5

Progressive Disclosure

Well-signaled one-level-deep references in a dedicated References section (resources/*.md and shared core files), with substantial protocol detail inlined in SKILL.md; however the referenced resource files are not present in the bundle, so navigation cannot be fully verified.

4 / 5

Total

16

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20

Passed

Description

88%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.

A strong, third-person description that clearly states both capability and use triggers with comprehensive, concrete actions. Minor room to improve distinctiveness and add a few more synonyms.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ("Drafts, revises, and audits essays, reports, analysis sections, executive summaries, conclusions, and literature reviews") plus four enforcement mechanisms, giving comprehensive coverage of the capability.

5 / 5

Completeness

Explicitly answers both what ("Drafts, revises, and audits...") and when ("USE for academic writing, essay polish..."), with concrete trigger phrases for each use case.

5 / 5

Trigger Term Quality

Good coverage of natural phrases users would say ("essay polish", "paragraph rewrite", "anti-AI audit", "reverse outlining", "claim-evidence mapping"), though a few common synonyms like "proofreading" or "editing" are absent.

4 / 5

Distinctiveness Conflict Risk

Academic writing is a clear, narrow niche with distinct triggers, but the description alone does not disambiguate from adjacent skills (translation, scholar, pm) which are only separated in the body's "When NOT to use" section.

4 / 5

Total

18

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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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