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/liatrio-labs/slash-command-manager/agents-mdgit clone --depth 1 https://github.com/liatrio-labs/slash-command-managerWrote 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/liatrio-labs/slash-command-manager/agents-md)<a href="https://agentmods.dev/instructions/liatrio-labs/slash-command-manager/agents-md"><img src="https://agentmods.dev/badge/instructions/liatrio-labs/slash-command-manager/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 | $0.00254 | $0.00254 |
| Opus 5 | $0.00127 | $0.00127 |
| Sonnet 5 | $0.00051 | $0.00051 |
| Haiku 4.5 | $0.00025 | $0.00025 |
Grade A, and why
slash-command-manager 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 5d 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
Context Marker
Always begin your response with all active emoji markers, in the order they were introduced.
Format: "\n"
The marker for this instruction is: 🗡️
Required Commands
- Run app:
uv run server.py(NOTpython -m server.py) - Integration tests:
uv run scripts/run_integration_tests.py(ALWAYS use this script) - Unit tests:
uv run pytest tests/ -v -m "not integration" - Install deps:
uv sync
Critical Rules
- ALWAYS use
uv runfor Python execution - Integration tests MUST be run through
scripts/run_integration_tests.py- this runs them in Docker to prevent overriding user prompt files - NEVER run integration tests directly with pytest
- Follow existing code patterns in slash_commands/
- Reference existing docs for detailed setup
Project Context
- Python CLI tool for managing slash commands in various AI coding tools
- Uses UV for package management
- Integration tests are Docker-isolated for safety to prevent overriding user prompt files
- Comprehensive docs in README.md and docs/
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.
- 5d ago First seen · 32 lines · 254 tokens per session scan A cbad67e39399
slash-command-manager AGENTS.md is an instructions file published in the GitHub repository liatrio-labs/slash-command-manager (4 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 254 tokens to every session, about $0.0013 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
mex CLAUDE.md
Claude Code instructions for mex-memory/mex, a project described as: Persistent project memory for AI coding agents. Structured scaffold + drift detection CLI.
mex AGENTS.md
AGENTS.md instructions for mex-memory/mex, a project described as: Persistent project memory for AI coding agents. Structured scaffold + drift detection CLI.
Atomic-Spec AGENTS.md
Instructions for Chappygo-OS/Atomic-Spec, covering agents.md — adding a new ai agent to atomic spec, about atomic spec and the atomicspec cli, general practices, adding new agent support and current supported agents.
Atomic-Spec CLAUDE.md
Instructions for Chappygo-OS/Atomic-Spec, covering claude.md, what this repository is, architecture — the phase pipeline, critical conventions and common commands.
sync-agents-settings CLAUDE.md
Instructions for Leoyang183/sync-agents-settings, covering claude.md, commands, architecture, testing and publishing.
sync-agents-settings AGENTS.md
Instructions for Leoyang183/sync-agents-settings, covering repository guidelines, project structure & module organization, build, test, and development commands, coding style & naming conventions and testing guidelines.