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/dan-cleary/convalytics/agents-mdgit clone --depth 1 https://github.com/Dan-Cleary/convalyticsWhat 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 | $0.00103 | $0.00103 |
| Opus 5 | $0.00051 | $0.00051 |
| Sonnet 5 | $0.00021 | $0.00021 |
| Haiku 4.5 | $0.00010 | $0.00010 |
Grade A, and why
convalytics 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.
This is a copy
100% identical to boop-agent AGENTS.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
This project uses Convex as its backend.
When working on Convex code, always read convex/_generated/ai/guidelines.md first for important guidelines on how to correctly use Convex APIs and patterns. The file contains rules that override what you may have learned about Convex from training data.
Convex agent skills for common tasks can be installed by running npx convex ai-files install.
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 · 8 lines · 103 tokens per session scan A 71b1b91c9a0e
convalytics AGENTS.md is an instructions file published in the GitHub repository Dan-Cleary/convalytics (7 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 103 tokens to every session, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to boop-agent AGENTS.md, differing in 0 lines, and is treated as a copy.
Other instructions, from other repositories
skills AGENTS.md
Instructions for qdrant/skills, covering qdrant skills, project overview, project structure, navigating skills locally and conventions.
seekstone CLAUDE.md
Instructions for shaqmughal/seekstone, covering claude.md, what this repo is, commands, the harness itself (run after npm install) and architecture.
marklogic-mcp CLAUDE.md
Instructions for tternquist/marklogic-mcp, covering marklogic mcp — agent working instructions, core principle: problem-first thinking, where guidance lives — skills first, agent skills (.claude/skills/ /skill.md) and marklogic://instructions resource (src/resources/index.ts).
plan-forge database.instructions.md
Database patterns for .NET — Dapper/EF Core, parameterized queries, migration strategy.
creditkarma-mcp CLAUDE.md
Claude Code instructions for chrischall/creditkarma-mcp, covering creditkarma-mcp, commands, tool naming, architecture and auth resolution (pattern a template).
copilot-instructions database.instructions.md
Instructions for ThiagoGuislotti/copilot-instructions, covering schema design, normalization, cartesian explosion, parameter sniffing and query performance.