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-assumptionsgit 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-assumptions)<a href="https://agentmods.dev/commands/thierryn/fire-flow/fire-assumptions"><img src="https://agentmods.dev/badge/commands/thierryn/fire-flow/fire-assumptions.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 | $0.00011 | $0.00483 |
| Opus 5 | $0.00005 | $0.00242 |
| Sonnet 5 | $0.00002 | $0.00097 |
| Haiku 4.5 | $0.00001 | $0.00048 |
Grade A, and why
fire-assumptions 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/fire-assumptions
Surface Claude's assumptions about a phase approach before planning. Prevents silent improvisation.
Arguments
arguments:
phase:
required: false
type: string
description: "Phase to list assumptions for. Defaults to current phase."
Process
Step 1: Load Context
Read CONSCIENCE.md, VISION.md, and phase description.
Step 2: Generate Assumptions
For the target phase, list all assumptions Claude is making:
+---------------------------------------------------------------+
| DOMINION FLOW >>> ASSUMPTION VALIDATION |
+---------------------------------------------------------------+
| |
| Phase: 03 - Dashboard |
| |
| Assumptions I'm making: |
| |
| TECHNICAL: |
| 1. [VALIDATED] React 18+ is available (confirmed in pkg.json)|
| 2. [UNVALIDATED] WebSocket support in deployment target |
| 3. [UNVALIDATED] Chart library compatible with SSR |
| |
| INFRASTRUCTURE: |
| 4. [VALIDATED] PostgreSQL is the database |
| 5. [UNVALIDATED] Redis available for real-time features |
| |
| INTEGRATION: |
| 6. [UNVALIDATED] Stripe API supports batch operations |
| |
+-----------------------------------------------------------------+
Step 3: Validate or Acknowledge
For each UNVALIDATED assumption:
- Can it be validated now? (check docs, test, research)
- If yes: validate and update status
- If no: acknowledge risk and document in ASSUMPTIONS.md
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 · 79 lines · 11 tokens per session scan A 45dc00595f7b
fire-assumptions is a command published in the GitHub repository ThierryN/fire-flow (77 stars, last pushed 22d ago), licensed MIT. It adds 11 tokens to every session and 483 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.
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