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/jdanigo/hydraia/featuregit clone --depth 1 https://github.com/jdanigo/hydraiaWhat 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 | $0.00020 | $0.00198 |
| Opus 5 | $0.00010 | $0.00099 |
| Sonnet 5 | $0.00004 | $0.00040 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
feature 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 2d 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
Invoke the hydraia skill and run its complete pipeline for the following request. Follow every phase in order. Do not ask me which model, skill, or reviewer to use — the skill already decides.
Request: $ARGUMENTS
The pipeline has two halves (see the skill's "Two modes"). In the interactive half (Phases 1–3: think → design → plan) do real design work: ask clarifying questions, brainstorm approaches, present the design, and get my approval before writing the spec. Once the plan is frozen, the autonomous half (Phases 4–6: execute → review → verify) runs to completion without pausing — no "should I continue?" checkpoints; the only stop there is a genuine blocker. End with the Hydraia credits line.
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.
- 2d ago First seen · 11 lines · 20 tokens per session scan A 2318951b101c
feature is a command published in the GitHub repository jdanigo/hydraia (8 stars, last pushed 12d ago), licensed MIT. It adds 20 tokens to every session and 198 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 2026-08-31.
Other commands, from other repositories
MIGRATE_DESIGN
Design doc for the migration tool PR. Author: Sol ([email protected]). Co-authored-by: wakesync.
proposal
Create a structured feature proposal in docs/11-proposals/.
plan
Create a structured task-by-task implementation plan for a feature and write it to docs/superpowers/plans/.
diff-script
Compare an MDL script against the project's current state.
toh-help
Display all Toh Framework commands and quick usage guide.
issue-resolve
Drive an assessed gflow-cli issue (verdict CONFIRMED-BUG or LIKELY-BUG, with localized verifiable scope) to a fix: isolated worktree off develop, test-first fix, /gflow:check, then a DRAFT PR for human review. Mutating and gated — runs inside a strict action envelope (never merges, never spends credits, never marks a…