Borrowing it
Nothing to install: this file belongs to galimar/veridge. 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/galimar/veridge/main/AGENTS.mdgit clone --depth 1 https://github.com/galimar/veridgeWrote 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/galimar/veridge/agents-md)<a href="https://agentmods.dev/instructions/galimar/veridge/agents-md"><img src="https://agentmods.dev/badge/instructions/galimar/veridge/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/galimar/veridge/agents-md"><img src="https://agentmods.dev/badge/instructions/galimar/veridge/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 | $0.00511 | $0.00511 |
| Opus 5.5 | $0.00204 | $0.00204 |
| Sonnet 5.5 | $0.00102 | $0.00102 |
| Haiku 4.5 | $0.00051 | $0.00051 |
Grade A, and why
veridge 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 2mo 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 — working on Veridge
Veridge builds an always-fresh, low-token graph of a whole project (files + symbols + areas + decisions + git sessions), ranks it with PageRank, and serves token-budgeted slices to AI assistants and humans. The core has zero runtime dependencies (Python standard library only).
Setup & checks
pip install -e ".[dev,mcp,treesitter]"
ruff check veridge tests # must pass
pytest -q # must pass
Every change must keep ruff and pytest green, and add/adjust tests for behaviour changes.
Design principles (do not break)
read-only on the user's sources · zero-deps core (any new dependency goes behind an
optional extra, never in the core) · low-token (queries return structure, never file
contents) · ranked (relevance from the graph, not raw counts) · deterministic (nodes and
edges are sorted on serialization → reproducible graph.json). No LLM builds the graph.
Layout
model.py— typed nodes/edges + indexed adjacency (O(degree) queries)walk.py/ignore.py/classify.py— file enumeration and typingparse_python.py(stdlibast) +treesitter.py(optional extra) — symbols, imports, callsparse_docs.py— references (links / wikilinks / prose paths) + decision idsindexer.py— assembles the graph;sessions.py— git historyrank.py(PageRank) ·budget.py(token cost) ·query.py(map / find / neighbors / focus / impact / tour / why)freshness.py(manifest + anti-drift gate) ·store.py(.veridge/) ·watch.py·export.py·integrate.pyviewer.py+ui/template.html— offline canvas graph ·cli.py·mcp_server.py
More
README.md (usage), ROADMAP.md (plan & what's intentionally out of scope), CONTRIBUTING.md
(PR guidance), docs/graph-format.md (the graph.json schema).
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.
- 2mo ago First seen · 41 lines · 511 tokens per session scan A 366dc449dc8e
veridge AGENTS.md is an instructions file published in the GitHub repository galimar/veridge (1 stars, last pushed 4mo ago), licensed MIT. It adds 511 tokens to every session, about $0.0020 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.
veridge AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| veridge AGENTS.mdgalimar/veridge | Instructions file | 1 | 4mo ago | MIT | A | 511 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |