Borrowing it
Nothing to install: this file belongs to agmxyz/tiktag. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/agmxyz/tiktag/main/AGENTS.mdgit clone --depth 1 https://github.com/agmxyz/tiktagWrote 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/instructions/agmxyz/tiktag/agents-md)<a href="https://agentmods.dev/instructions/agmxyz/tiktag/agents-md"><img src="https://agentmods.dev/badge/instructions/agmxyz/tiktag/agents-md/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/instructions/agmxyz/tiktag/agents-md"><img src="https://agentmods.dev/badge/instructions/agmxyz/tiktag/agents-md.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 | $0.00819 | $0.00819 |
| Opus 5.5 | $0.00328 | $0.00328 |
| Sonnet 5.5 | $0.00164 | $0.00164 |
| Haiku 4.5 | $0.00082 | $0.00082 |
Grade A, and why
tiktag AGENTS.md 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 1mo 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Authoritative project contract for tiktag. Keep this file to contract, invariants, and real caveats only. README.md stays user-facing and short.
Working rules
- state assumptions when they matter; if ambiguity changes implementation, ask instead of guessing
- prefer smallest change that solves request; no speculative features, abstractions, or configurability
- touch requested scope only; do not refactor or clean unrelated code
- verify behavior-changing work with targeted checks before declaring done
Project
tiktag = text anonymizer.
- one Rust crate: library + thin CLI
- built-in model:
Xenova/distilbert-base-multilingual-cased-ner-hrl(quantized ONNX) - built-in model scope:
PERSON,ORG,LOCATION - regex recognizers are additive supplements after model inference
- current built-in regex recognizer: email
Library contract
use tiktag::{Tiktag, TiktagError, TiktagOutput};
let mut tiktag = Tiktag::new(&profiles_path)?; // loads tokenizer + ONNX session once
let out: TiktagOutput = tiktag.anonymize(text)?; // reuses runtime per call
let text = &out.anonymization.anonymized_text;
- construct once, call many:
newis expensive;anonymizereuses runtime anonymizetakes&mut self; no internal locking- multi-thread hosts use
Mutex<Tiktag>or per-thread instance profiles_pathis explicit- relative
model_dirresolves against profile file parent only TiktagOutput=anonymization+sequence_len+window_count- errors are
TiktagError; keep typed variants for profile, bundle, and inference boundaries - placeholder numbering is stable per call only; no cross-document identity
CLI contract
tiktag "<text>"ortiktag --stdinprints anonymized text to stdout with trailing newlinetiktag --jsonemits machine-readable output without reversible metadatatiktag --debug-jsonemits reversible metadata for local/debug use onlytiktag downloadfetches bundled model assets- diagnostics and timing logs go to stderr via
log - JSON modes also emit
stats.timingson stdout payload - CLI resolves
models/profiles.tomlfrom app-data first, then legacy fallback:<exe_dir>/models/profiles.toml, then cwd - no model/profile selection flags
- prefer
--stdinfor large inputs
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.
- 1mo ago First seen · 78 lines · 819 tokens per session scan A 3b10472baa58
tiktag AGENTS.md is an instructions file published in the GitHub repository agmxyz/tiktag (5 stars, last pushed 26d ago), licensed MIT. It adds 819 tokens to every session, about $0.0033 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 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.