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/reflexioai/reflexio/agents-mdgit clone --depth 1 https://github.com/ReflexioAI/reflexioWhat 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 | $0.00128 | $0.00128 |
| Opus 5 | $0.00064 | $0.00064 |
| Sonnet 5 | $0.00026 | $0.00026 |
| Haiku 4.5 | $0.00013 | $0.00013 |
Grade A, and why
reflexio AGENTS.md scanned grade A with 1 finding 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Use `curl` for API testing (faster); use Chrome for frontend tasks Copies of this mod
1 near-identical copy found in the catalogue:
- reflexio CLAUDE.md — 100% identical, 0 lines differ
What it actually says
Reflexio
See developer.md for full development guidelines, project structure, and setup instructions.
Quick Reference
- Start services:
./run_services.sh— runs FastAPI backend (port 8061) and Next.js docs (port 8062) - Run commands in uv env:
uv run <cmd>or activate.venv - Use
curlfor API testing (faster); use Chrome for frontend tasks - Never change env variable values in
.envfile — use shell exports for overrides - API schemas live in
reflexio/models/api_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.
- 2d ago First seen · 12 lines · 128 tokens per session scan A 6832a9510100
reflexio AGENTS.md is an instructions file published in the GitHub repository ReflexioAI/reflexio (338 stars, last pushed 2d ago), licensed Apache-2.0. It adds 128 tokens to every session, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
Acontext AGENTS.md
Instructions for memodb-io/Acontext, covering acontext, navigation guide, plan-driven development, modules and rules.
BEST-Self-Enhancement-Learning-AI CLAUDE.md
Instructions for subkoks/BEST-Self-Enhancement-Learning-AI, covering bsela — claude code entry, completed, repo state at session end, next session — start here and state at session start.
AutoTrainess AGENTS.md
Instructions for simple-agent-lab/AutoTrainess, covering agents.md, objective, hard constraints, experiment guidance and stage rules.
claude-reflect CLAUDE.md
Instructions for BayramAnnakov/claude-reflect, covering claude.md, project overview, architecture, data flow and memory targets (full hierarchy).
smarter-agent AGENTS.md
Instructions for AnimaApp/smarter-agent: When you make a meaningful behavioral change to an agent skill, durable memory convention, system prompt, routing policy, safety boundary, classification rule, evidence threshold, escalation rule, or completion rule, load and follow skills/smarter-agent/SKILL.md before claiming…
BEST-Self-Enhancement-Learning-AI AGENTS.md
Instructions for subkoks/BEST-Self-Enhancement-Learning-AI, covering bsela — project agent rules, project identity, core invariants, memory taxonomy (canonical) and improvement loop contract.