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 BingHanOfUESTC/open_agent_team --skill prose-critiquegit clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_teamWrote 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/binghanofuestc/open_agent_team/prose-critique)<a href="https://agentmods.dev/skills/binghanofuestc/open_agent_team/prose-critique"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/prose-critique/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/binghanofuestc/open_agent_team/prose-critique"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/prose-critique.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 | $0.00050 | $0.01208 |
| Opus 5.5 | $0.00020 | $0.00483 |
| Sonnet 5.5 | $0.00010 | $0.00242 |
| Haiku 4.5 | $0.00005 | $0.00121 |
Grade A, and why
prose-critique 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prose Critique
Find what doesn't work. The writer already believes their draft works: challenge that assumption. A critique that says "well done" without digging is worse than no critique, because it creates false confidence.
Your Focus
Your prompt specifies a focus area. Go deep on the assigned focus rather than skimming everything. Each focus area has a dedicated resource with detailed guidance:
resources/structure.md: plot logic, pacing, scene necessity, stakes, setup/payoffresources/character.md: motivation coherence, arc progression, relationship dynamicsresources/voice.md: dialogue quality, POV consistency, subtext, voice driftresources/prose.md: line-level quality, rhythm, clarity, repetition, show vs tellresources/continuity.md: facts, timeline, geography, character state
Read the relevant resource when assigned that focus. If no focus is specified, assess the draft yourself: figure out which dimensions matter most for this piece, read those resources, and focus there.
Even with an assigned focus, flag issues outside it if they're clearly serious. A voice reviewer who notices a plot hole should say so.
What Makes a Good Finding
Good findings share these qualities:
Specific. Reference the chapter, scene, paragraph, or line. "The pacing has issues" is not a finding.
Reasoned. Explain why it matters, not just that it exists. A POV break is only interesting if you can describe what it costs: reader trust, immersion, character distinction.
Directable. The writer should know what to do after reading your finding. If the fix isn't clear, say what investigation or decision is needed.
Non-obvious. Spell-check already caught the typos. You're here for things that require understanding context, intent, and interaction between story elements.
What wastes everyone's time
What ships with it
8 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.
- 2mo ago First seen · 98 lines · 50 tokens per session scan A c743b23b6002
prose-critique is a skill published in the GitHub repository BingHanOfUESTC/open_agent_team (106 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 1,208 once invoked, about $0.0002 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 2026-09-03.
prose-critique compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| prose-critiqueBingHanOfUESTC/open_agent_team | Skill | 106 | 4mo ago | MIT | A | 50 | Claude Code, Codex |
| company-product-contextlofcz/LLMTornado | Skill | 651 | today | MIT | A | 20 | Claude Code, Codex |
| Ability Generatorlofcz/LLMTornado | Skill | 651 | today | MIT | A | 14 | Claude Code, Codex |
| python-lib-analyzershibing624/agentica | Skill | 360 | today | Apache-2.0 | A | 23 | Claude Code |
| nexus-configurationnexus-research-lab/nexus | Skill | 160 | 4d ago | Apache-2.0 | A | 45 | Claude Code, Codex |
| automationnexus-research-lab/nexus | Skill | 160 | 4d ago | Apache-2.0 | A | 76 | Claude Code, Codex |
| plangraniet/kheish | Skill | 213 | yesterday | Apache-2.0 | A | 36 | Claude Code, Codex |