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.
npx agentmods add instructions/chrystianschutz/threadshelf/agents-mdgit clone --depth 1 https://github.com/ChrystianSchutz/ThreadShelfWrote 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/chrystianschutz/threadshelf/agents-md)<a href="https://agentmods.dev/instructions/chrystianschutz/threadshelf/agents-md"><img src="https://agentmods.dev/badge/instructions/chrystianschutz/threadshelf/agents-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 | $0.04002 | $0.04002 |
| Opus 5 | $0.02001 | $0.02001 |
| Sonnet 5 | $0.00800 | $0.00800 |
| Haiku 4.5 | $0.00400 | $0.00400 |
Grade A, and why
ThreadShelf 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 3d 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 — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance for AI coding agents (Claude Code, Codex, Cursor, etc.) working in this
repository. Humans should read this too — it is the short, accurate map of the
project. CLAUDE.md simply points here so Claude Code picks up the same rules.
What this project is
ThreadShelf — a local, offline semantic-search and backup tool for AI chat exports (Google AI Studio, OpenRouter, OpenAI/ChatGPT, Anthropic/Claude, LM Studio, Grok/xAI). It parses exported JSON into normalized turns, chunks and embeds them locally (Xenova/Transformers.js), stores vectors in LanceDB, and exposes search through a React web UI, an HTTP API, and an MCP stdio server.
Parsing, embeddings, storage, and search run on the user's machine. By default, no chat data leaves the device. The embedding model may be downloaded on first use. Treat all real chat exports as private.
The optional conversation-generation layer is Experimental Alpha. Its
primary llama.cpp engine is local and loopback-only. OpenRouter is an explicit,
opt-in external exception: picking the OpenRouter provider tab sends selected
user/assistant thread content, the optional master prompt, and the new prompt
off-device; archived thinking is excluded. There is no longer a per-send consent
checkbox — the off-device chip on the model button and the composer hint carry
that signal. New chats are saved locally by default in the protected
threadshelf_conversations collection and semantic index. The explicit
ghost-icon private mode is tab-scoped and never persisted.
The master prompt is a small collection of user-written system prompts. They
are hand-written and expected to last, so they are stored server-side in
.threadshelf/master-prompts.json (src/generation/master-prompts.ts, atomic
write, mode 0600, MASTER_PROMPTS_PATH override) and served by the loopback-only
/api/generation/prompts CRUD routes. The client holds no copy beyond the
react-query cache (['master-prompts']). The active prompt is sent as
systemPrompt on every generation request and prepended as a leading system
message; it is never persisted into a stored thread, so re-reading a chat never
replays a prompt the user has since changed.
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.
- 3d ago First seen · 274 lines · 4,002 tokens per session scan A 69c0042d37bd
ThreadShelf AGENTS.md is an instructions file published in the GitHub repository ChrystianSchutz/ThreadShelf (5 stars, last pushed 12d ago), licensed MIT. It adds 4,002 tokens to every session, about $0.0200 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 instructions, from other repositories
quiper AGENTS.md
AGENTS.md instructions for sassanh/quiper, covering repository guidelines, project structure & module organization, build, test, and development commands, coding style & naming conventions and testing guidelines.
deliberation CLAUDE.md
Claude Code instructions for antonbabenko/deliberation, covering claude.md, what this is, development commands, test plugin locally (loads from working directory) and run setup to test installation flow.
EleSync copilot-instructions.md
When working on the EleSync repository, prefer the EleSync Maintainer custom agent for Python code, docs, tests, packaging, and release workflow changes.
deliberation AGENTS.md
AGENTS.md instructions for antonbabenko/deliberation, covering agents.md, what deliberation is, tools, performance + debugging (optional) and when to delegate.
AICompare CLAUDE.md
Claude Code instructions for taoAIGC/AICompare, covering claude.md, project overview, architecture, core components and key features.
hermes-agent AGENTS.md
AGENTS.md instructions for NousResearch/hermes-agent, covering hermes agent - development guide, what hermes is, contribution rubric — what we want / what we don't, what we want and what we don't want (rejected even when well-built).