Borrowing it
Nothing to install: this file belongs to decantr-ai/decantr. 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/decantr-ai/decantr/main/CLAUDE.mdgit clone --depth 1 https://github.com/decantr-ai/decantrWrote 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/decantr-ai/decantr/claude-md)<a href="https://agentmods.dev/instructions/decantr-ai/decantr/claude-md"><img src="https://agentmods.dev/badge/instructions/decantr-ai/decantr/claude-md.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 | $0.08678 | $0.08678 |
| Opus 5 | $0.04339 | $0.04339 |
| Sonnet 5 | $0.01736 | $0.01736 |
| Haiku 4.5 | $0.00868 | $0.00868 |
Grade A, and why
decantr CLAUDE.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 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 — 374 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md -- Decantr
Do not add Co-Authored-By lines to commits.
Project
Decantr is local-first AI Frontend Governance and UI change control. It observes project-owned authority, prepares bounded context for a specific UI change, verifies the resulting diff, and reports typed evidence. Decantr does not generate code -- the AI or developer does.
Current stable product: Decantr 3.11.3 is the Changed-UI Assurance line. Bare decantr verify is zero-write and adoption-free: it scopes the current Git change, selects exactly one changed UI app when provable, and returns at most three source-anchored findings. The patch keeps SvelteKit +page.svelte files as taskable implementations and colocated page-data modules as supporting authority. The 3.10 independent authority axes, framework-specific production topology, route and non-route task preparation, bounded route capsules, and Project Health contracts remain the foundation. Explicit CI v3 includes the same change-assurance report while v2 stays the compatibility default. Product release readiness is separate from model-lift research qualification. No precision, recall, adoption-proof, or general model-improvement claim is allowed without its corresponding evidence.
Current research program: docs/programs/2026-07-22-decantr-3-10-ui-change-control-proof.md tests whether the shipped Observe -> Prepare -> Verify -> Report product materially improves model outcomes. Product 3.10 treats routes, layouts, components, stories, overlays, flows, packages, and runtime states as independent UI surfaces; route inventory is evidence, not the product ontology. A predeclared treatment lift must pass separately for each locked frontier model before any material-improvement claim. The frozen 3.9.4 Day-0 result and 3.10 regression replays are diagnostics, not control/treatment results. Paid model runs require explicit budget authorization. The current no-cost runtime matrix is independently reverified at digest ce55618610740db332d19c6314f78d0141f440bc5ca04ec79698b3359d6c93bc; evaluator qualification, runnable task materialization, paid trajectories, and independent human review remain incomplete. None of those research gaps block an honestly bounded product release.
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 · 374 lines · 8,678 tokens per session scan A 32b325a43af9
decantr CLAUDE.md is an instructions file published in the GitHub repository decantr-ai/decantr (6 stars, last pushed 11d ago), licensed MIT. It adds 8,678 tokens to every session, about $0.0434 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.
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