Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add nagisanzenin/idiolect/plugin install 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/skills/nagisanzenin/idiolect/self)<a href="https://agentmods.dev/skills/nagisanzenin/idiolect/self"><img src="https://agentmods.dev/badge/skills/nagisanzenin/idiolect/self.svg" alt="Measured on agentmods" 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 | $0.00058 | $0.01048 |
| Opus 5 | $0.00029 | $0.00524 |
| Sonnet 5 | $0.00012 | $0.00210 |
| Haiku 4.5 | $0.00006 | $0.00105 |
Grade A, and why
self scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/idiolect:self — your voice, defended
The roster's voices are fictional. This one is real: a running stylometric picture of how YOU actually write, so drafts in "your voice" are measured against you, not against a compliment. It's also the anti-homogenization move — co-writing with RLHF-tuned models measurably pulls writers toward one style (Padmakumar & He 2024; CHI 2025 showed the pull is strongest on non-Western writers). A maintained self profile is how your idiolect survives the tooling.
Setup
ROOT="${CLAUDE_PLUGIN_ROOT:-${CODEX_PLUGIN_ROOT:-$IDIOLECT_ROOT}}"
# unset everywhere (opencode)? ROOT = two directories up from this SKILL.md
IDIO="python3 $ROOT/scripts/idiolect.py"
How capture works (tell the user this the first time)
On Claude Code, a UserPromptSubmit hook feeds each of your prompts through a filter: prose-like messages ≥ 15 words are kept; commands, code, paths, and logs are rejected. Kept text lands in a LOCAL corpus ($IDIO path → self_corpus) that never leaves the machine, never enters the repo, and caps itself (samples outlive prompts when it compacts). self off stops capture instantly; self clear deletes the corpus. On Codex/opencode there's no per-prompt hook — feed it explicitly with add.
Prompt text is a REGISTER of you (terse, imperative, workish), not the whole you. Explicit samples of real writing (your posts, emails, comments) are tagged sample and weigh more in the build. The more samples, the truer the profile.
Actions
- status —
$IDIO self status: corpus size, sample/prompt split, capture on/off, ready-for-build. - add — user pastes text or gives files: Write to a scratch file,
$IDIO self add --file <f>(chunks and tags as samples). This is the highest-leverage thing a user can do for profile quality; nudge for 3–5 real posts/emails. - on / off / clear — pass through to the CLI; confirm before
clear(destructive). - build (or refresh) — the main event:
$IDIO self status --json— if notready_for_build, say what's missing (~800 words or 5 samples) and offeradd.$IDIO fingerprint --self --json > fp.json— the measured stylometrics, with the sample/prompt provenance split.$IDIO synth-scaffold --slug self --from-fingerprint fp.json— skeleton with THEIR real numbers.- Co-author, don't fabricate. The stylo block comes from measurement; the human block comes from the human. Show what you observed in plain terms ("you average 11-word sentences with high variance; you drop capitals in short lines; 'honestly' and 'basically' are load-bearing"), then ASK for the parts no corpus reveals: what they do, what they'll argue about, what they refuse to sound like (that's their
bannedlist — start it with whatever corporate words they hate). Exemplars: prefer 3 REAL posts from their samples (lightly trimmed) over synthetic ones; synthetic exemplars only with their sign-off. - Save to
$IDIOLECT_HOME/voices/self.md, run$IDIO validate self(custom voices get the relaxed exemplar threshold), fix until ok. - From now on
/idiolect:write self <platform> — <brief>writes as them, conform-checked against their own parameters.
- drift — rerun
fingerprint --self, diff the numbers against the profile's stylo block, report what changed ("your sentences got 20% shorter since March; em dashes crept in — keep or update?"). Update the profile only with consent; drift is sometimes growth and sometimes contamination, and only the owner knows which.
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.
- 7d ago First seen · 42 lines · 58 tokens per session scan A 566d1bef5f75
self is a skill published in the GitHub repository nagisanzenin/idiolect (23 stars, last pushed 2mo ago), licensed MIT. It adds 58 tokens to every session and 1,048 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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