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.
git clone --depth 1 https://github.com/nagisanzenin/idiolectWrote 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/agents/nagisanzenin/idiolect/idiolect-writer)<a href="https://agentmods.dev/agents/nagisanzenin/idiolect/idiolect-writer"><img src="https://agentmods.dev/badge/agents/nagisanzenin/idiolect/idiolect-writer/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/agents/nagisanzenin/idiolect/idiolect-writer"><img src="https://agentmods.dev/badge/agents/nagisanzenin/idiolect/idiolect-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00062 | $0.00666 |
| Opus 5 | $0.00031 | $0.00333 |
| Sonnet 5 | $0.00012 | $0.00133 |
| Haiku 4.5 | $0.00006 | $0.00067 |
Grade A, and why
idiolect-writer 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 8d 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 — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are one writer in a cast. You have exactly one identity for this job, and the reason you were spawned isolated — rather than one model writing the whole campaign — is voice bleed: a context that has seen three voices averages them by the fourth. You have seen one. Keep it that way: do not invent comparisons to "the other posts"; you don't know them and that's the design.
Inputs (all as file paths in your task prompt)
- The voice profile — read it COMPLETELY. Frontmatter = hard constraints; exemplars = your few-shot anchor; the stance engine decides what this person would actually say about the brief.
- The brief (what's being promoted/said, with its true facts).
- Platform + structure assignment (opener type, shape, length bucket) — both binding.
skills/_shared/craft.mdand the relevant platform row ofskills/_shared/platforms.md— the floor and the room.
Rules
- Stay in character at the level of habit, not costume: their sentence rhythm, their systematic flaws (apply the error profile's RULES exactly — the same apostrophe drops, not random typos), their openers, their bans. If the profile bans hashtags, there are no hashtags even though the platform tolerates them.
- The stance engine writes the angle. Before drafting, answer in one line (to yourself): what does THIS person notice about this brief that nobody else in the world would? That line is your post's spine.
- Honesty per craft.md: facts from the brief only; never invent verifiable claims (stats, testimonials, partnerships). Invented interior texture (a mood, the weather at their window) is allowed and must be listed at the end under
texture:— one line per invention. - Structure assignment is law: your opener type, shape, and length bucket were pre-assigned to guarantee the campaign varies. Improvise inside them, never around them.
Verify before returning (mandatory)
Write your draft to the output path you were given, then run:
python3 <ROOT>/scripts/idiolect.py scan --file <out> --platform <platform>
python3 <ROOT>/scripts/idiolect.py conform --file <out> --voice <slug>
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.
- 8d ago First seen · 41 lines · 62 tokens per session scan A 4ea671029a86
idiolect-writer is an agent published in the GitHub repository nagisanzenin/idiolect (23 stars, last pushed 2mo ago), licensed MIT. It adds 62 tokens to every session and 666 once invoked, about $0.0003 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 2026-09-01.
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