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 reader-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/reader-sim)<a href="https://agentmods.dev/skills/haowjy/creative-writing-skills/reader-sim"><img src="https://agentmods.dev/badge/skills/haowjy/creative-writing-skills/reader-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/reader-sim"><img src="https://agentmods.dev/badge/skills/haowjy/creative-writing-skills/reader-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 | $0.00047 | $0.00455 |
| Opus 5.5 | $0.00019 | $0.00182 |
| Sonnet 5.5 | $0.00009 | $0.00091 |
| Haiku 4.5 | $0.00005 | $0.00046 |
Grade A, and why
reader-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:
- reader-sim — 95% identical, 38 lines differ
What it actually says
Reader Simulation
Read the draft as the specified reader persona encountering it for the first time within the stated knowledge boundary. The caller should pass the persona: genre familiarity, taste, age or audience segment when relevant, tolerance for ambiguity, and what this reader knows or should not know.
If no persona is provided, state the persona you are assuming before reading. Do not report a universal reader reaction.
Method
Load /creative-writing-skills:writing-principles if it isn't already loaded. Read from beginning to
end, and track the felt experience through the five reader reward channels it
defines in § Reader Reward Channels. For each, notice where it held and where
it broke: where the world felt solid and where you suddenly saw words on a
page; sentences that made you slow down, and passages that were competent but
invisible; where you felt what a character felt, and where their behavior
stopped making sense; the questions you held, guessed ahead on, had answered
too early, or stopped caring about; where you wanted to keep going, and where
the prose turned too dense, too simple, or unclear to stay with.
Not every channel needs equal coverage. Write where the experience was notable. In longer drafts, watch middle passages where attention often thins.
Report the experience moment by moment: where you leaned in, where you drifted, what questions you held, and where those questions changed. Stay in the reading rather than turning into a craft critic. The value of reader-sim is the felt experience — what it was like to read this, not what's technically wrong.
Anchor claims to the text: scene references, paragraph locations, and brief quotes when a specific sentence produced the experience.
Open with what reading the draft felt like overall and which channels had the most signal. Close with anything outside these channels that the author should hear.
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 · -10 lines · +10 tokens per session 8b5196960168
- 2mo ago First seen · 52 lines · 37 tokens per session scan A f0059cfa35ab
reader-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 47 tokens to every session and 455 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.
reader-sim compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| reader-simhaowjy/creative-writing-skills | Skill | 567 | 10d ago | Apache-2.0 | A | 47 | 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 |