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 commands/thierryn/fire-flow/fire-0-orientgit clone --depth 1 https://github.com/ThierryN/fire-flowWrote 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/commands/thierryn/fire-flow/fire-0-orient)<a href="https://agentmods.dev/commands/thierryn/fire-flow/fire-0-orient"><img src="https://agentmods.dev/badge/commands/thierryn/fire-flow/fire-0-orient.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 | $0.00012 | $0.13819 |
| Opus 5 | $0.00006 | $0.06910 |
| Sonnet 5 | $0.00002 | $0.02764 |
| Haiku 4.5 | $0.00001 | $0.01382 |
Grade A, and why
fire-0-orient 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 477 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/fire-0-orient
First contact with an existing project
Purpose
When an AI agent joins an existing project with no prior handoff, this command scans the codebase and project state to understand:
- What is this project?
- What's the current state?
- What should happen next?
This is the "new agent orientation" - like a new employee's first day understanding the codebase.
Arguments
arguments:
--deep:
required: false
type: boolean
default: false
description: "Perform deep codebase analysis (takes longer)"
--scan-only:
required: false
type: boolean
default: false
description: "Only scan, don't recommend next action"
--output:
required: false
type: string
description: "Save orientation report to file"
When to Use
┌─────────────────────────────────────────────────────────────────────────────â”
│ USE /fire-0-orient WHEN: │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ✓ You're a NEW agent on this project │
│ ✓ No WARRIOR handoff file exists │
│ ✓ User says "let's get started" or "what's next" │
│ ✓ You're unsure what state the project is in │
│ ✓ Context was reset/compacted and you need to re-orient │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ DON'T USE WHEN: │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ✗ Starting a NEW project → use /fire-1a-new │
│ ✗ Handoff file exists → use /fire-6-resume │
│ ✗ You already understand the project │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
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.
- 4d ago First seen · 477 lines · 12 tokens per session scan A e3f11e06675e
fire-0-orient is a command published in the GitHub repository ThierryN/fire-flow (77 stars, last pushed 22d ago), licensed MIT. It adds 12 tokens to every session and 13,819 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
awesome-chatgpt
Search awesome-ChatGPT-repositories for open-source GitHub repositories related to ChatGPT and LLMs.
init
Scaffold a new MindBase project (v2 layout). Usage: /mb:init [template] [-- mission ...].
commit
智能生成 Git 提交信息并提交.
pr
Handle the full workflow from current branch state to an open, CI-monitored pull request.
doctor.es
Diagnostica problemas de inferencia LLM en Mac: asiai doctor verifica el estado de los motores, conflictos de puertos, carga de modelos y estado de la GPU.
requirement-review
需求文档多角色评审（requirement-review）：需求文档 → 7-Agent 并行评审 → 重构高质量需求文档（Runtime 受控流程，0-7 阶段状态机）.