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 | $0.00037 | $0.00565 |
| Opus 5 | $0.00018 | $0.00282 |
| Sonnet 5 | $0.00007 | $0.00113 |
| Haiku 4.5 | $0.00004 | $0.00056 |
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 9d 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, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
Read from beginning to end. Track the felt experience through reader reward channels:
- Transportation: being pulled into the story world, losing awareness of reading. Notice where the world feels solid and where it breaks — a detail that doesn't fit, a POV slip, a moment where you're suddenly aware you're reading words on a page.
- Aesthetic: pleasure from language, rhythm, imagery, craft. Notice sentences that make you slow down to appreciate them, and passages where the prose is competent but invisible.
- Social simulation: modeling characters as minds. Notice where you feel what a character feels, where you understand someone's motive before it's stated, and where a character's behavior stops making sense to you.
- Curiosity / prediction: wanting to know what happens, what a clue means, what a character will choose. Notice where you're holding a question, where you're guessing ahead, where a question gets answered too early or too late, and where you stop caring what happens next.
- Flow: the reading feeling absorbing and easy to stay with. Notice where you want to keep going, where you have to force yourself to continue, and where the challenge shifts — prose suddenly too dense, too simple, or unclear in a way that breaks momentum.
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.
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.
- 9d 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 (449 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 37 tokens to every session and 565 once invoked, about $0.0002 per session on Opus 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.
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