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 MikkoParkkola/anti-ai-tell/plugin install anti-ai-tellWrote 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/commands/mikkoparkkola/anti-ai-tell/aat-fingerprint)<a href="https://agentmods.dev/commands/mikkoparkkola/anti-ai-tell/aat-fingerprint"><img src="https://agentmods.dev/badge/commands/mikkoparkkola/anti-ai-tell/aat-fingerprint/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/commands/mikkoparkkola/anti-ai-tell/aat-fingerprint"><img src="https://agentmods.dev/badge/commands/mikkoparkkola/anti-ai-tell/aat-fingerprint.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 | $0.00012 | $0.00282 |
| Opus 5 | $0.00006 | $0.00141 |
| Sonnet 5 | $0.00002 | $0.00056 |
| Haiku 4.5 | $0.00001 | $0.00028 |
Grade A, and why
aat-fingerprint 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 12d 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.
What it actually says
Seed or refine the user's fingerprint.json — the single source of truth for
their chosen point of view, the cure for generic AI design.
Derive-then-confirm (the chosen seeding flow):
- Derive. If the user points at an existing artifact (a site, CSS, deck, or
writing sample), run
python3 ${CLAUDE_PLUGIN_ROOT}/skills/anti-ai-tell/fingerprint.py derive <file>to extract whatever slots it can read (fonts, accent, radius, mode). - Confirm. Run
python3 ${CLAUDE_PLUGIN_ROOT}/skills/anti-ai-tell/fingerprint.py gapsto list the unset slots, then ask the user about ONLY those, via AskUserQuestion (e.g. accent lane: warm/cool/mono/bold). Keep it to 3-5 taps. - Persist. Write the merged result to
fingerprint.jsonin the repo root. Validate withfingerprint.py validate fingerprint.json. Never re-ask a slot that's already set.
If the user has no artifacts and no preferences yet, print the ELITE seed
(fingerprint.py seed) as a starting point and let them edit.
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.
- 12d ago First seen · 24 lines · 12 tokens per session scan A 2057823235bd
aat-fingerprint is a command published in the GitHub repository MikkoParkkola/anti-ai-tell (3 stars, last pushed 8d ago), licensed MIT. It adds 12 tokens to every session and 282 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
verify
Fidelity check — rebuild a page from the extracted tokens, pixel-diff it against the live site, and score how faithfully the tokens capture the design.
humanizer
Humanize text — strip AI-writing patterns from pasted text or a file without changing what it says.
design-mobile
Design a mobile screen or flow. This command never writes SwiftUI or Compose — the deliverable is a device-framed HTML mockup plus a handoff spec for the platform developer.
design-page
Routes a new page or screen in an existing project by register and move; taste-first may defer existing tokens until concept lock.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.