hydra-orchestrate

hydra-orchestrate is a skill for Codex from azixxxxx/Hydra. It costs 38 tokens per session (1,110 once invoked), scanned A, original, MIT.

A skill for deciding whether to delegate an engineering task to an independent Claude Code investigation, review, or alternative implementation. It keeps the local agent responsible for implementation, verification, and merging.

In plain words
What is it for?
Routing engineering tasks, starting bounded delegated investigations when appropriate, and checking their results before using them.
Why use it?
It provides a defined process for weighing delegation cost and risk, checking readiness, setting a budget, and verifying delegated output.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Claude Code.

Good fit Routing engineering tasks, starting bounded delegated investigations when appropriate, and checking their results before using them.

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Install with agentmods
npx agentmods add skills/azixxxxx/hydra/hydra-orchestrate
Install

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.

Any agent
npx skills add azixxxxx/Hydra --skill hydra-orchestrate
Clone the repo
git clone --depth 1 https://github.com/azixxxxx/Hydra

Made for: Codex.

Wrote 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.

agentmods badge for hydra-orchestrate

README.md
[![agentmods](https://agentmods.dev/badge/skills/azixxxxx/hydra/hydra-orchestrate/github.svg)](https://agentmods.dev/skills/azixxxxx/hydra/hydra-orchestrate)
Your own site
<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.

agentmods 80×15 button for hydra-orchestrate

Your own site · 80×15
<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>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,110 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 8d ago against content hash 72078b695e2b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

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.

plugins/hydra/skills/hydra-orchestrate/SKILL.md · 65 lines

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

  1. Call hydra_preflight for the target repository. Stop on any preflight error. State that account usage credits remain a manual check.
  2. Call hydra_budget with {"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.
  3. 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_route with the capsule's exact byte count.
  4. If the route is FAST, continue locally. Start no Claude job.
  5. Start only plan sessions whose activation is immediate. Use hydra_start with the named model, effort, role, capsule, role-specific delta, and least-privileged access mode. Use budgetIntent.priority: "quality-floor" for the required lead and route-required immediate panel members. Use "opportunistic" for conditional or manually added sessions, with valuableWork: true and a truthful distinctInformationGain value.
  6. Enforce a maximum three Claude sessions, maximum one Fable session, and the lower configured concurrency limit. Do not invent a fallback model.
  7. Record each returned job ID. Check hydra_status until a terminal state, then call hydra_result. Use condition-based checks; do not hold a tool call open while Claude runs.
  8. Use hydra_continue only when the same saved context is materially useful. Preserve the model, role, and access context.
  9. 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.
  10. Call hydra_record_outcome only after the job is terminal. Supply taskType, scope, accepted and rejected claims, false positives, testsBefore, testsAfter, patch verdict, and user verdict when known.

Read the full file on GitHub · 65 lines

Files

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.

Changes

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.

  1. 8d ago First seen · 65 lines · 38 tokens per session scan A 72078b695e2b

Subscribe to this mod's changes

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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