Borrowing it
Nothing to install: this file belongs to rahult18/prism-mem. 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/rahult18/prism-mem/main/AGENTS.mdgit clone --depth 1 https://github.com/rahult18/prism-memWrote 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/rahult18/prism-mem/agents-md)<a href="https://agentmods.dev/instructions/rahult18/prism-mem/agents-md"><img src="https://agentmods.dev/badge/instructions/rahult18/prism-mem/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/rahult18/prism-mem/agents-md"><img src="https://agentmods.dev/badge/instructions/rahult18/prism-mem/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 | $0.00400 | $0.00400 |
| Opus 5.5 | $0.00160 | $0.00160 |
| Sonnet 5.5 | $0.00080 | $0.00080 |
| Haiku 4.5 | $0.00040 | $0.00040 |
Grade A, and why
prism-mem 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.
What it actually says
AGENTS.md
Prism-mem is a knowledge graph generation system that extracts relations from coding sessions and stores them in a structured database.
Repository Layout
session_reader.py- Extracts sessionId from session filesgit_reader.py- Implements read_git_diff to extract code changesextractor.py- Calls Haiku API via LiteLLM to extract Graph.relationsmcp_server.py- Server component for agent interactionDesktop/Projects/prism-mem/- Project root location~/.claude/history.jsonl- Stores session transcripts~/.claude/projects/- Contains .jsonl files for session and subagent dataPrism-mem- Core knowledge graph storage system using SQLite with sqlite-vec extension
Build & Run
- Set
ANTHROPIC_API_KEYenvironment variable to authenticate with Anthropic API - Install dependencies including LiteLLM for Haiku model access and sqlite-vec extension
- Run extractor to process session files and generate Graph.relations
- Session data is automatically stored in
~/.claude/projects/as .jsonl files
Rules
- Always authenticate API calls using ANTHROPIC_API_KEY before accessing the Anthropic API
- Use similarity threshold for linking operations when connecting triples
- Call Haiku via LiteLLM (not direct API) for all extraction tasks
- Store all extracted Graph.relations in the knowledge graph via the kg-gen phase
- Subagents must write their own .jsonl files in
~/.claude/projects/with tool_result output - Phase 7 (constitution generator) scores all triples before final storage
- Parse JSON objects and extract the attachment field when processing session data
- Each session extracts relations through the extractor which calls create_edge() via link_triple
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 · 32 lines · 400 tokens per session scan A a901b534966a
prism-mem AGENTS.md is an instructions file published in the GitHub repository rahult18/prism-mem (3 stars, last pushed 4mo ago), licensed MIT. It adds 400 tokens to every session, about $0.0016 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).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.