oh-my-agent is a harness for checking whether coding agents actually completed their work by verifying tests, required artifacts, independent reviews, and recorded decisions. It is used across multiple agent runtimes to make workflow results auditable instead of relying on an agent's own report. The catalogue add-ons provide parts of its skills, agents, hooks, MCP integrations, instructions, and plugins.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add first-fluke/oh-my-agent --skill oma-academic-writinggit clone --depth 1 https://github.com/first-fluke/oh-my-agentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/first-fluke/oh-my-agent/oma-academic-writing)<a href="https://agentmods.dev/skills/first-fluke/oh-my-agent/oma-academic-writing"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-academic-writing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/first-fluke/oh-my-agent/oma-academic-writing"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-academic-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.03064 |
| Opus 5.5 | $0.00014 | $0.01226 |
| Sonnet 5.5 | $0.00007 | $0.00613 |
| Haiku 4.5 | $0.00003 | $0.00306 |
Grade A, and why
oma-academic-writing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
2 near-identical copies found in the catalogue:
- oma-academic-writing — 100% identical, 10 lines differ
- oma-academic-writer — 91% identical, 87 lines differ
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 abstract / 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 research abstracts, 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-translationfor the target language after drafting in English
Expected inputs
mode: one ofdraft|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 forreviseandreviewsource_data: available evidence, figures, citations the writer may usetarget_register: defaults to formal academic English with American spelling (en-US)
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago Changed · +2 lines 99440ab30ed0
- 1mo ago Changed · -1 lines 14963ed5b4db
- 1mo ago Changed · +2 lines 49e94976dbf6
- 1mo ago Changed · -7 lines · -79 tokens per session ca03370bf870
- 1mo ago Changed · +1 lines · -1 tokens per session 2e9bbcb330f2
- 2mo ago First seen · 183 lines · 114 tokens per session scan A f763b39ac8b6
oma-academic-writing is a skill published in the GitHub repository first-fluke/oh-my-agent (1,357 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 3,064 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
oma-academic-writing compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| oma-academic-writingfirst-fluke/oh-my-agent | Skill | 1.4k | yesterday | MIT | A | 34 | Claude Code |
| agent-harness-fault-injectionsickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 34 | Claude Code |
| ai-fleet-project-executionSzotasz/marveen | Skill | 128 | yesterday | MIT | A | 63 | Claude Code, Codex |
| memoria-heartbeatSzotasz/marveen | Skill | 128 | yesterday | MIT | A | 44 | Claude Code, Codex |
| approval-request-handlingSzotasz/marveen | Skill | 128 | yesterday | MIT | A | 147 | Claude Code, Codex |
| fleet-helperSzotasz/marveen | Skill | 128 | yesterday | MIT | A | 86 | Claude Code |
| github-pr-rebase-mergeSzotasz/marveen | Skill | 128 | yesterday | MIT | A | 59 | Claude Code, Codex |