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/ar6420/hail_hydra/stfugit clone --depth 1 https://github.com/AR6420/Hail_HydraWrote 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/ar6420/hail_hydra/stfu)<a href="https://agentmods.dev/commands/ar6420/hail_hydra/stfu"><img src="https://agentmods.dev/badge/commands/ar6420/hail_hydra/stfu.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 5.1 | $0.00015 | $0.00216 |
| Opus 5 | $0.00008 | $0.00108 |
| Sonnet 5 | $0.00003 | $0.00043 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
stfu 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 6d 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
Hydra STFU Mode
Activate the STFU-Agents skill for this session.
Acknowledge with:
"🐉 STFU-Agents mode activated. All dispatched subagents will run with compressed internal thinking. Final outputs unchanged. Run /skills to deactivate or say 'verbose agents'."
From this point in the session, when dispatching ANY subagent via the Task tool, prepend the internal-compression directive defined in skills/stfu-agents/SKILL.md to the task description.
Applies until:
- Session ends
- User says "verbose agents" / "stop STFU"
- A conflicting skill is invoked
Why
Subagents generate intermediate prose that's billed by Anthropic but never read. Final summary is the only thing returned to Opus. STFU tells every dispatched subagent to skip narration — same final output, fewer billed tokens. Universal scope: any subagent in the session, regardless of source.
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.
- 6d ago First seen · 22 lines · 15 tokens per session scan A 42927fa85914
stfu is a command published in the GitHub repository AR6420/Hail_Hydra (48 stars, last pushed 25d ago), licensed MIT. It adds 15 tokens to every session and 216 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
install-context
Install OpenAgents Control context files.
health
Run documentation health checks (freshness, links, drift, cross-doc consistency).
tidy
Consistency check for non-code repos with INDEX.md hierarchy. Verifies INDEX.md accuracy, MEMORY.md references, orphaned files, stale dates, and WAITING markers.
batch-execute
Execute a batch of ops plans continuously without user input, storing any issues and user questions in a .md file to be processed with the user afterwards. Do NOT invoke this yourself! Should only be invoked by the user.
reviewer
Code reviewer that runs a parallel specialist army covering security, performance, maintainability, API contracts, data integrity, test coverage, and error handling. Trigger on code review, review, PR review, pull request, or review army.
p3-data-model
Designs the Data Model with entities and relationships as well as the API design with interface specification. The result is DATAMODEL.md and APISPEC.md as the binding foundation for implementation.