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 haowjy/creative-writing-skills --skill writing-staffinggit clone --depth 1 https://github.com/haowjy/creative-writing-skillsWrote 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/haowjy/creative-writing-skills/writing-staffing)<a href="https://agentmods.dev/skills/haowjy/creative-writing-skills/writing-staffing"><img src="https://agentmods.dev/badge/skills/haowjy/creative-writing-skills/writing-staffing/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/haowjy/creative-writing-skills/writing-staffing"><img src="https://agentmods.dev/badge/skills/haowjy/creative-writing-skills/writing-staffing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00048 | $0.00451 |
| Opus 5.5 | $0.00019 | $0.00180 |
| Sonnet 5.5 | $0.00010 | $0.00090 |
| Haiku 4.5 | $0.00005 | $0.00045 |
Grade A, and why
writing-staffing 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 10d 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.
What it actually says
Writing Staffing
Each agent loads its core skills itself. Your brief adds the rest: the lane,
the extra skills to tell it to load ("load /creative-writing-skills:character-sim"), the files to
pass, the reader effect to create, and what to leave ambiguous or unresolved.
The files each kind of work needs are in /creative-writing-skills:story-memory
resources/story-context.md § What Each Agent Needs.
Model Selection
Agent defaults are usually correct. When overriding or selecting models for additional lanes, match the model to the work: creative taste and high-stakes critique need judgment; outlining and cross-document checks need structured synthesis; bulk gathering and mechanical checks can use a cheaper model when later synthesis will catch misses.
For model-diverse fan-out, choose two available model families with different blind spots. Check the live model catalog and model-specific prompting guidance at dispatch time rather than assuming which models or routes are available.
Fan-out passes the same question and files to different model families for independent judgment. Reserve it for high-stakes calls where model diversity can reveal different blind spots. Parallel lanes use different prompts or focus areas; use each agent's default model unless a lane needs a capability it lacks.
Agent Catalogs
resources/producers.md:@writer,@brainstormer,@outliner,@style-creator,@character-sim,@web-researcher, and@kb-lead. Open it before you spawn an agent that writes or gathers.resources/reviewers.md:@criticlanes (a focus area or an edit level),@continuity-checker,@reader-sim, and how many lanes a chapter needs. Open it before staffing any critique.
What ships with it
2 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.
- 10d ago Changed · -68 lines · +3 tokens per session 5c24c7cfa17b
- 12d ago Changed · -1 lines · +1 tokens per session 48cb6b4a8371
- 1mo ago Changed · +2 lines b933e887bd82
- 2mo ago First seen · 110 lines · 44 tokens per session scan A 3fbc7f4add1a
writing-staffing is a skill published in the GitHub repository haowjy/creative-writing-skills (567 stars, last pushed 10d ago), licensed Apache-2.0. It adds 48 tokens to every session and 451 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 2026-08-30.
writing-staffing compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| writing-staffinghaowjy/creative-writing-skills | Skill | 567 | 10d ago | Apache-2.0 | A | 48 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |