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 skills add azixxxxx/Hydra --skill hydra-orchestrategit clone --depth 1 https://github.com/azixxxxx/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/skills/azixxxxx/hydra/hydra-orchestrate)<a href="https://agentmods.dev/skills/azixxxxx/hydra/hydra-orchestrate"><img src="https://agentmods.dev/badge/skills/azixxxxx/hydra/hydra-orchestrate/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/azixxxxx/hydra/hydra-orchestrate"><img src="https://agentmods.dev/badge/skills/azixxxxx/hydra/hydra-orchestrate.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00038 | $0.01110 |
| Opus 5 | $0.00019 | $0.00555 |
| Sonnet 5 | $0.00008 | $0.00222 |
| Haiku 4.5 | $0.00004 | $0.00111 |
Grade A, and why
hydra-orchestrate 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 8d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hydra Orchestrate
Principle
Keep Sol as implementation owner, verifier, and merge authority. Treat Hydra output as evidence to check, never as authority to accept.
Workflow
- Call
hydra_preflightfor the target repository. Stop on any preflight error. State that account usage credits remain a manual check. - Call
hydra_budgetwith{"action":"status"}. Treat it as local advisory evidence, never as an account-quota source. Missing or stale evidence must not block required quality-floor work, but it blocks optional delegation. - Build the context capsule below. Classify kind, scope, ambiguity, novelty, risk, write need, test need, parallelizability, context overlap, partitionability, and independent-judgment need. Call
hydra_routewith the capsule's exact byte count. - If the route is
FAST, continue locally. Start no Claude job. - Start only plan sessions whose activation is
immediate. Usehydra_startwith the named model, effort, role, capsule, role-specific delta, and least-privileged access mode. UsebudgetIntent.priority: "quality-floor"for the required lead and route-required immediate panel members. Use"opportunistic"for conditional or manually added sessions, withvaluableWork: trueand a truthfuldistinctInformationGainvalue. - Enforce a maximum three Claude sessions, maximum one Fable session, and the lower configured concurrency limit. Do not invent a fallback model.
- Record each returned job ID. Check
hydra_statusuntil a terminal state, then callhydra_result. Use condition-based checks; do not hold a tool call open while Claude runs. - Use
hydra_continueonly when the same saved context is materially useful. Preserve the model, role, and access context. - Verify every accepted claim against local repository evidence. Open cited files, reproduce relevant commands, and run focused tests when safe. Sol alone decides whether to apply a worktree patch.
- Call
hydra_record_outcomeonly after the job is terminal. SupplytaskType,scope, accepted and rejected claims, false positives,testsBefore,testsAfter, patch verdict, and user verdict when known.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 65 lines · 38 tokens per session scan A 72078b695e2b
hydra-orchestrate is a skill published in the GitHub repository azixxxxx/Hydra (0 stars, last pushed 6d ago), licensed MIT. It adds 38 tokens to every session and 1,110 once invoked, about $0.0002 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.
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