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/sairam0424/mindforge/autogit clone --depth 1 https://github.com/sairam0424/MindForgeWrote 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/sairam0424/mindforge/auto)<a href="https://agentmods.dev/commands/sairam0424/mindforge/auto"><img src="https://agentmods.dev/badge/commands/sairam0424/mindforge/auto.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 | $0.00009 | $0.00249 |
| Opus 5 | $0.00005 | $0.00125 |
| Sonnet 5 | $0.00002 | $0.00050 |
| Haiku 4.5 | $0.00001 | $0.00025 |
Grade A, and why
auto 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 today.
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
/mindforge:auto [Phase N]
Purpose: Starts the MindForge Autonomous Execution Engine for the specified phase. The agent will execute all waves, handle repairs, and perform compliance gates without requiring human confirmation.
Usage
/mindforge:auto --phase 3(Standard unattended mode)/mindforge:auto --resume(Resumes from last checkpoint)/mindforge:auto --headless(CI/CD optimized output)/mindforge:auto --dry-run(Show the wave DAG and plan without executing)
Behavior
- Zero-Interaction: Auto-approves Tier 1/2 changes if gates pass.
- Self-Repair: Tries RETRY/DECOMPOSE before asking for help.
- Checkpointing: Constant state persistence in
HANDOFF.json. - Governance: ESCALATES on Tier 3 changes (Auth/Payment/PII).
Environment Variables
AUTO_MODE_TIMEOUT_MINUTES: Default 120.AUTO_PUSH_ON_WAVE_COMPLETE: Default false.SLACK_WEBHOOK_URL: Required for notifications.
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.
- today First seen · 27 lines · 9 tokens per session scan A 65bef12885be
auto is a command published in the GitHub repository sairam0424/MindForge (0 stars, last pushed yesterday), licensed MIT. It adds 9 tokens to every session and 249 once invoked, about $0.0000 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 2026-09-03.
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analyze
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