Agent skill

Oma Academic Writing

by first-fluke in first-fluke/oh-my-agent

Draft and revise academic prose against a rubric, evidence, and citation requirements.

MITAuto-check passedResearch & Science

Install Oma Academic Writing

skills CLI
$ npx skills add first-fluke/oh-my-agent --skill oma-academic-writing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install first-fluke/oh-my-agent oma-academic-writing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/first-fluke/oh-my-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/oma-academic-writing .claude/skills/oma-academic-writing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
oma-academic-writing
GitHub stars
1.3k
Token cost
~3.5k tokens
SKILL.md length
1,681 words
Files
28 (incl. references)
Skills in repo
57
Repo updated
First seen
Licence
MIT

At a glance

Draft and revise academic prose against a rubric, evidence, and citation requirements.

  • Works in 5 steps: Identify the mode (draft, revise,… → If assignment constraints were supplied,… → If revising or reviewing, read the… → …
  • Literature reviews
  • SKILL.md covers Scheduling, Structural Flow, Logical Operations and References
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Oma Academic Writing is an agent skill from first-fluke/oh-my-agent. Draft and revise academic prose against a rubric, evidence, and citation requirements. Use for essays, reports, literature reviews, or academic style audits.

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 32 other files, including reference files (for example `references/_shared/conditional/experiment-ledger.md`, `references/_shared/conditional/exploration-loop.md` and `references/_shared/conditional/quality-score.md`).

It sits in Research & Science, covering Literature review, Quizzes and assessments and Scientific writing. The repository describes itself as: Mechanical verification for AI coding agents — skills pack or full harness (stop-hook gates, artifact checks, independent judges). The licence is MIT.

When your agent uses it

  • Literature reviews
  • Academic style audits

Example prompts

  • “/oma-academic-writing”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Identify the mode (draft, revise, review) and the rubric source.
  2. If assignment constraints were supplied, quote their exact text before applying them. Without a rubric, revise/review the draft using the…
  3. If revising or reviewing, read the existing draft in full first; if drafting, confirm available source data and citations.
  4. Index resources/ and identify any claims that need a more precise verb or hedge.
  5. Apply the literal-first principle before any drafting: prefer direct statement over metaphor and flourish. When a literal phrase is…

What it can do on your machine

Read from SKILL.md and the folder at commit 268bb4a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Oma Academic Writing loads about 3.5k tokens when it runs, and up to ~20k if it reads all its reference files. Until then it costs about 45 tokens; SKILL.md has 1,681 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~20k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from first-fluke/oh-my-agent at commit 268bb4a, republished under its MIT licence (© first-fluke). 1,681 words, ~3,472 tokens.

Download SKILL.mdSave it as .claude/skills/oma-academic-writing/SKILL.md (or your agent's skills folder). This skill also uses 27 other files; get the full folder from GitHub.
name
oma-academic-writing
description
Draft and revise academic prose against a rubric, evidence, and citation requirements. Use for essays, reports, literature reviews, or academic style audits.

Academic Writing: Publication-Grade English Prose

Scheduling

Goal

Produce, revise, and audit publication-grade academic English prose so that every output simultaneously satisfies the Sentence Structure Protocol, Verb Protocol, Hedging Protocol, and Anti-AI Compliance Checklist, with every claim mapped to verifiable evidence.

Intent signature
  • "draft this essay / report / executive summary / conclusion / literature review"
  • "rewrite this paragraph in academic English"
  • "polish this draft to top-band quality" / "revise to match the rubric"
  • "run an anti-AI audit on this prose"
  • "check sentence structure variety" / "fix monotonous rhythm"
  • "the prose sounds AI-generated, make it pass"
  • "verify claims against evidence" / "reverse outline this section"
When to use
  • Drafting or revising academic reports, essays, or analysis sections
  • Writing executive summaries, conclusions, or literature reviews
  • Rewriting AI-sounding prose into natural academic English
  • Polishing draft text to achieve top-band rubric quality (HD, A, top-band, etc.)
  • Reviewing prose for sentence variety, verb quality, hedging, and anti-AI compliance
  • Any task requiring formal academic English output bound by a rubric
When NOT to use
  • Translation tasks → use oma-translation
  • Source discovery, citation gathering, or scholarly literature search → use oma-scholar
  • Rubric / assignment-spec parsing and task decomposition → use oma-pm
  • Code documentation, README, or API reference text → use the relevant domain skill (oma-frontend, oma-backend, oma-mobile, oma-db, etc.)
  • Informal communication, chat, or marketing copy → no skill needed
  • Non-English academic writing → call oma-translation for the target language after drafting in English
Expected inputs
  • mode: one of draft | revise | review
  • Optional rubric_or_constraint: assignment brief, rubric file, or word/structure limits (path or inline text); draft-only revision/review does not require a rubric
  • existing_draft: prior text to revise or audit (path or inline text); required for revise and review
  • source_data: available evidence, figures, citations the writer may use
  • target_register: defaults to formal academic English with American spelling (en-US)
Expected outputs
  • draft mode: section heading + drafted prose + Writing Notes (sentence mix, key verbs, anti-AI flags resolved, paragraph lengths) + Claim-Evidence Map
  • revise mode: original block, revised block, list of specific changes (verb upgrades, structure variation, anti-AI fixes)
  • review mode: PASS/FAIL Compliance Report across Sentence Structure, Verb Quality, Anti-AI, Specificity, Hedging, Paragraph Clarity, Rhythm/Burstiness, Claim-Evidence Alignment, plus recommended fixes
Dependencies
  • references/_shared/core/anti-ai-prose.md and resources/anti-ai-checklist.md: common diagnostics and academic constraints; load together for prose audits
  • resources/sentence-structure-reference.md: four sentence types, contextual rhythm guidance, common errors
  • resources/academic-verb-tiers.md: meaning- and evidence-based verb guidance
  • resources/hedging-guide.md: calibrated certainty expressions matched to evidence strength
  • references/_shared/core/context-loading.md: task-relevant resource loading
  • references/_shared/core/quality-principles.md: shared quality bar
Control-flow features
  • Mode branching: draft vs revise vs review produce different output formats and pass sequences
  • Rubric constraints: quote supplied assignment requirements before applying them; draft-only revision/review can proceed without inventing a rubric
  • Citation gap branch: when a claim lacks evidence, weaken or remove rather than fabricate; optionally hand off to oma-scholar
  • Language branch: non-English target hands off to oma-translation after the English pass
  • Iterative AUDIT: every fix loops back through the anti-AI checklist before emit

Structural Flow

Entry
  1. Identify the mode (draft, revise, review) and the rubric source.
  2. If assignment constraints were supplied, quote their exact text before applying them. Without a rubric, revise/review the draft using the requested register and evidence; do not invent assignment rules.
  3. If revising or reviewing, read the existing draft in full first; if drafting, confirm available source data and citations.
  4. Index resources/ and identify any claims that need a more precise verb or hedge.
  5. Apply the literal-first principle before any drafting: prefer direct statement over metaphor and flourish. When a literal phrase is available, use it.
Scenes
  1. PREPARE: load rubric, existing draft, source data; record quoted constraints and note claims whose verbs or hedges need attention.
  2. ACQUIRE: read resources/sentence-structure-reference.md, academic-verb-tiers.md, and hedging-guide.md only for the patterns relevant to the current section.
  3. ACT: write or revise prose with sentence variety, accurate verb choice, evidence-matched hedging, clear paragraphing, and direct statements. Keep a common verb when it is the clearest accurate choice.
  4. VERIFY: apply the shared prose diagnostics and academic checklist; use reverse outlining and the Claim-Evidence Map to identify unsupported claims. In review mode, report findings without rewriting the draft.
  5. FINALIZE: read-aloud test, cohesion check, specificity audit, word-count verification, paragraph-length variation, rhythm check; emit per the mode's output format.
Transitions
  • If a rubric line is ambiguous → quote it back to the user and ask for interpretation; do not infer combined rules.
  • If a claim cannot be supported by available evidence → weaken with hedging or remove; if a citation gap is structural, NOTIFY oma-scholar.
  • If the target language is non-English → finish the English pass, then hand off to oma-translation.
  • If the same anti-AI flag survives one fix attempt → restructure the surrounding two sentences instead of word-substitution alone.
  • If an output mode mismatch is detected (e.g., user asked for review but supplied a fresh prompt) → confirm the mode before producing output.
Failure and recovery
FailureRecovery
Word count over / under targetCut filler adverbs and redundant qualifiers, or expand with supporting evidence; re-run audit
Repeated syntax obscures the argumentRevise the affected sentences for clarity using shared rhythm guidance; preserve clear sentences
Rubric requirement unclearQuote exact rubric text and ask user; do not combine rules
Claim lacks evidenceAdd citation, hedge to match weaker evidence, or remove the claim entirely
Hedging miscalibratedReplace double hedges; align hedge strength with resources/hedging-guide.md evidence-level table
Verb is vagueName the action, method, result, or evidence only if that makes the claim clearer
Repeated paragraph structure hinders progressionReorganize the affected argument without inserting a paragraph solely to vary length
Exit
  • Success: every protocol PASSes, the Claim-Evidence Map has no unsupported entries, word count complies, and the mode-specific output format is fully populated.
  • Partial success: emit prose with explicit needs evidence / pending citation markers and report which protocol items remain at risk; flag handoff candidates.
  • Failure: report a material blocker such as required source data being unavailable or contradictory supplied constraints. The absence of an optional rubric alone does not block draft-only revision/review.

Logical Operations

Show full SKILL.md (707 more words)Show less
Actions
ActionSSL primitiveEvidence
Read rubric / constraint and quote literal textREADRubric file or assignment brief
Read existing draft (revise/review modes)READDraft file or inline text
Index resources for the current sectionREADresources/{anti-ai-checklist,sentence-structure-reference,academic-verb-tiers,hedging-guide}.md
Select sentence mix and evidence-appropriate wordingSELECTSentence-structure and verb guidance
Plan paragraph as Topic-Support-ConcludeINFEROutline notes
Draft / revise prose under all four protocolsWRITEGenerated prose
Audit prose against anti-AI checklistVALIDATEresources/anti-ai-checklist.md
Reverse outline + build Claim-Evidence MapVALIDATEMapping table
Weaken or remove unsupported claimsWRITERevised claim line
Compare original vs revised (revise mode)COMPAREDiff block
Hand off non-English targetNOTIFYoma-translation
Hand off citation gapNOTIFYoma-scholar
Hand off ambiguous rubric / specNOTIFYoma-pm
Emit per mode output formatWRITEFinal artifact
Report compliance statusNOTIFYPASS/FAIL summary or Writing Notes block
Tools and instruments
  • Read / Edit / Write for draft and rubric files
  • resources/anti-ai-checklist.md, sentence-structure-reference.md, academic-verb-tiers.md, hedging-guide.md
  • Topic-Support-Conclude paragraph template (inline)
  • Claim-Evidence Map (inline 3-column table: Claim / Evidence / Status)
  • Output-format blocks per mode (Draft / Revision / Review)
Canonical workflow path
  1. READ the draft and any supplied rubric; quote actual assignment constraints and pin their requirements. If no rubric is supplied, use the requested revision/review scope without inventing constraints.
  2. PLAN each paragraph as Topic-Support-Conclude; identify where evidence strength or a vague claim calls for a more precise verb.
  3. DRAFT prose with sentence variety, clear verb choice, hedging, and Topic-Support-Conclude structure.
  4. AUDIT with references/_shared/core/anti-ai-prose.md and resources/anti-ai-checklist.md. Fix supported defects in draft/revise mode; in review mode, quote the passage, identify the defect, and recommend a local fix without a full rewrite or AI-authorship estimate.
  5. REVERSE-OUTLINE the section and build the Claim-Evidence Map; weaken or remove any unsupported claim.
  6. POLISH with read-aloud, cohesion, specificity, word-count, rhythm, and paragraph-length-variation checks; emit in the mode's output format.
Resource scope
ScopeResource target
LOCAL_FSRubric, existing draft, generated prose output
CODEBASEresources/ 4 reference files, _shared/core/{context-loading,quality-principles}.md
MEMORYMode, quoted constraints, wording decisions, anti-AI flags resolved, Claim-Evidence Map
Preconditions
  • A rubric / constraint or an existing draft (or both) is provided.
  • The target register is academic English. If the final deliverable is non-English, the user has agreed to a downstream oma-translation handoff.
  • The source data needed to support claims is available, or unsupported claims are explicitly allowed to be weakened or removed.
Effects and side effects
  • Writes drafted, revised, or reviewed prose to the user's working location (file or inline).
  • Does not modify resources/ reference files.
  • Does not fetch external citations; defers to oma-scholar when discovery is required.
  • May NOTIFY adjacent skills but does not auto-spawn them; user or workflow drives the actual handoff.
Guardrails
  1. Every sentence must be verifiable; never fabricate data, statistics, or citations.
  2. Quote supplied rubric constraints before judging compliance. Without a rubric, explain prose/evidence findings against the requested scope rather than inventing assignment criteria.
  3. Never combine distinct rules to invent a new constraint; apply rules exactly as written.
  4. Choose verbs for their exact meaning and support. Keep common verbs when they are accurate and natural; replace a vague verb only when the new wording states a relevant distinction without inflating the claim.
  5. Review repeated structure and sentence length in context. Change rhythm where it improves clarity or emphasis; do not force sentence-type quotas or rewrite clear prose merely to vary it.
  6. Match hedge strength to evidence strength per hedging-guide.md; never use absolute claim words (definitely, clearly, obviously) outside mathematical facts; never first-person I think / I believe.
  7. Apply common prose diagnostics with the academic checklist's evidence and register exceptions. Vocabulary counts trigger contextual review, not automatic replacement of precise terms.
  8. Em dashes ≤ 1 per paragraph; semicolons ≤ 2 per 1000 words; sentence-case headers; no didactic disclaimers (It is important to note) or summary phrases (In summary, Overall).
  9. Every claim must map to evidence in the Claim-Evidence Map; weaken or remove unsupported claims rather than emit them.
  10. Read aloud before emit; if a sentence does not flow naturally, restructure it.
  11. Apply the shared mannered-prose guidance with the academic checklist's literal-statement requirement.

References

  • Common prose diagnostics: references/_shared/core/anti-ai-prose.md (load with the academic checklist for prose audits)
  • Academic audit constraints: resources/anti-ai-checklist.md
  • Sentence-structure reference: resources/sentence-structure-reference.md
  • Academic verb tiers: resources/academic-verb-tiers.md
  • Hedging guide: resources/hedging-guide.md
  • Shared context loading: references/_shared/core/context-loading.md
  • Shared quality principles: references/_shared/core/quality-principles.md

© first-fluke, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 27 other files (references) in skills/oma-academic-writing of first-fluke/oh-my-agent.

  • SKILL.md
  • references/_shared/conditional/experiment-ledger.md
  • references/_shared/conditional/exploration-loop.md
  • references/_shared/conditional/quality-score.md
  • references/_shared/core/anti-ai-prose.md
  • references/_shared/core/api-contracts/README.md
  • references/_shared/core/api-contracts/template.md
  • references/_shared/core/clarification-protocol.md
  • references/_shared/core/common-checklist.md
  • references/_shared/core/context-budget.md
  • references/_shared/core/context-loading.md
  • references/_shared/core/difficulty-guide.md
  • references/_shared/core/execution-policy.md
  • references/_shared/core/lessons-learned.md
  • references/_shared/core/prompt-structure.md
  • references/_shared/core/quality-principles.md
  • … and 12 more

Open the folder on GitHubat commit 268bb4a

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in first-fluke/oh-my-agent, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Oma Academic Writing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Oma Academic Writing compared with similar skills
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Oma Academic Writing this skillfirst-fluke/oh-my-agent1.3k—~3.5kAutomated safety check: PassMIT
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Scientific Thinking Scholar Evaluationaffaan-m/ECC277k1 repos~1.2kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Academic Research Suite for CodexImbad0202/academic-research-skills-codex12k—~12kAutomated safety check: PassCustom licence
Autonomous Researchfedericodeponte/opendraft507—~8.2kAutomated safety check: PassApache-2.0

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Questions about Oma Academic Writing

What does Oma Academic Writing do?

Draft and revise academic prose against a rubric, evidence, and citation requirements. Oma Academic Writing is an agent skill from first-fluke/oh-my-agent. Draft and revise academic prose against a rubric, evidence, and citation requirements.

When should I use Oma Academic Writing?

Oma Academic Writing fits situations like: literature reviews; academic style audits.

How do I install Oma Academic Writing in Claude Code?

Run `npx skills add first-fluke/oh-my-agent --skill oma-academic-writing -a claude-code`. Or copy the skill folder (skills/oma-academic-writing in first-fluke/oh-my-agent) into .claude/skills/oma-academic-writing in your project. Claude Code loads it when a task matches its description.

How do I install Oma Academic Writing in Codex?

Run `npx skills add first-fluke/oh-my-agent --skill oma-academic-writing -a codex`. Or copy the skill folder (skills/oma-academic-writing in first-fluke/oh-my-agent) into .agents/skills/oma-academic-writing in your project. Codex loads it when a task matches its description.

Can I use Oma Academic Writing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add first-fluke/oh-my-agent --skill oma-academic-writing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/oma-academic-writing, .gemini/skills/oma-academic-writing, .github/skills/oma-academic-writing and .opencode/skills/oma-academic-writing in your project.

What does Oma Academic Writing need to run?

SKILL.md names no scripts, command-line tools or credentials: Oma Academic Writing is instructions for the agent only.

Does Oma Academic Writing access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Oma Academic Writing safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Oma Academic Writing use?

Oma Academic Writing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Oma Academic Writing use?

About 3.5k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 16k tokens, read only when the agent opens those files.

What are the alternatives to Oma Academic Writing?

Skills that share tags, products or a category with Oma Academic Writing: Paper Navigator (EvoScientist/EvoSkills, 478 stars), Scientific Thinking Scholar Evaluation (affaan-m/ECC, 277k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and Academic Research Suite for Codex (Imbad0202/academic-research-skills-codex, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Oma Academic Writing?

first-fluke (a GitHub organization) maintains it in first-fluke/oh-my-agent, which has 1,336 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on October 10, 2026.

Source: first-fluke/oh-my-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.