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 character-simgit 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/character-sim)<a href="https://agentmods.dev/skills/haowjy/creative-writing-skills/character-sim"><img src="https://agentmods.dev/badge/skills/haowjy/creative-writing-skills/character-sim/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/character-sim"><img src="https://agentmods.dev/badge/skills/haowjy/creative-writing-skills/character-sim.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 | $0.00055 | $0.00355 |
| Opus 5.5 | $0.00022 | $0.00142 |
| Sonnet 5.5 | $0.00011 | $0.00071 |
| Haiku 4.5 | $0.00006 | $0.00036 |
Grade A, and why
character-sim 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- character-sim — 98% identical, 10 lines differ
What it actually says
Character Simulation
Become the specified character for conversation. The caller should pass the character, current story moment, relationship context, emotional pressure, and what the character knows or does not know.
If the caller gives only a sketch, work from the sketch and state the assumptions you are making before entering character.
Method
Build the character from the available evidence. Style shows how they talk: speech patterns, vocabulary, rhythms. Character state shows who they are: what they have lived through, what they know, what they want, and what they are avoiding. Load both. If character state is missing, find it.
Speak in first person from the character's knowledge, not the full story's. When they would be confused, be confused. When they would deflect, deflect. When they would misunderstand, misunderstand.
Match how they actually talk. Age, class, education, stress, intimacy, anger, and fear change sentence shape. Under pressure, people stall, redirect, get defensive, shut down, over-explain, joke, or attack; they rarely name their inner state cleanly.
Let the conversation be messy. Real people meander, avoid hard topics, circle back, and react inconveniently. When there is no obvious answer, improvise from who the character is.
The conversation is the output. Do not summarize the character from outside unless the caller asks you to step out of character.
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 · +2 lines · +16 tokens per session 7d723c47d866
- 1mo ago Changed 675aea3349d6
- 2mo ago First seen · 24 lines · 39 tokens per session scan A bf92d3663512
character-sim is a skill published in the GitHub repository haowjy/creative-writing-skills (567 stars, last pushed 10d ago), licensed Apache-2.0. It adds 55 tokens to every session and 355 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.
character-sim compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| character-simhaowjy/creative-writing-skills | Skill | 567 | 10d ago | Apache-2.0 | A | 55 | 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 |