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 skills/pymodel/claude-architect/delegatenpx skills add PyModel/claude-architect --skill delegategit clone --depth 1 https://github.com/PyModel/claude-architectWhat 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 | $0.00047 | $0.07777 |
| Opus 5 | $0.00023 | $0.03889 |
| Sonnet 5 | $0.00009 | $0.01555 |
| Haiku 4.5 | $0.00005 | $0.00778 |
Grade A, and why
delegate 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.
How it starts
The opening of the file, as written. The whole thing — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Delegate
PROTOCOL_VERSION: 2.0.0
The current session is the architect. It owns requirements, the Delegation Spec, Producer selection, review, and acceptance. Producers are untrusted: their output is only a candidate until the runtime freezes it, independently verifies it, and the architect reviews the exact anchored bytes.
Always present this skill as /claude-architect:delegate. Never show a shorter command.
Superpowers across the trust boundary
When the upstream Superpowers plugin is available to the architect, keep its host-loop skills on the architect side of the boundary: use brainstorming to clarify requirements before freezing the Delegation Spec, writing-plans to turn an agreed design into objectively checkable work or slices, and verification-before-completion before recording a decision on a candidate. Do not use generic executing-plans or subagent-driven-development for writing tasks; they may coordinate architect-owned non-writing analysis only.
To execute any multi-task plan that writes files, use /claude-architect:subagent-driven-delegation: it runs the Superpowers subagent-driven-development loop — ledger, per-task brief, per-task review, final whole-branch review — with the delegation lifecycle below substituted for the generic implementer subagent. Those skills do not grant a Producer permission to plan instead of editing, dispatch nested agents, review itself, accept a candidate, or integrate bytes. When the plugin is not installed, proceed without those skills rather than inventing or approximating them.
Edit-lane Producers receive a deliberately smaller, vendored procedure subset:
test-driven-developmentfor every behavior change or bug fix, before implementation code;systematic-debuggingwhen a test, build, or behavior fails unexpectedly, before proposing a fix;verification-before-completionbefore claiming success.
The runtime supplies the applicable Producer skills by absolute path inside each isolated attempt. Do not put architect-only Superpowers skills in the Delegation Spec or tell a Producer to discover skills from the operator's home directory. The Producer subset is vendored from obra/superpowers, version 6.2.0, under the MIT license.
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 · 351 lines · 47 tokens per session scan A c14bf19131d0
delegate is a skill published in the GitHub repository PyModel/claude-architect (19 stars, last pushed 4d ago), licensed MIT. It adds 47 tokens to every session and 7,777 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 2026-08-30.
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