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/usefulmove/enso/delegatenpx skills add usefulmove/enso --skill delegategit clone --depth 1 https://github.com/usefulmove/ensoWhat 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 | $0.00042 | $0.00359 |
| Opus 5 | $0.00021 | $0.00179 |
| Sonnet 5 | $0.00008 | $0.00072 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
delegate scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Delegate
Spawn a child pi agent from within a running harness. The child runs in its own context directory and returns through an explicit return path.
Interface (the contract)
| Parameter | Description |
|---|---|
| context_dir | The child's working directory. Inherits parent .pi/skills/ unless overridden. |
| prompt | The task envelope: goal, acceptance criteria, and any loaded skills. |
| return_path | stdout, <context_dir>/.pi/return.md, or a named tmux session. |
| name | Optional tmux session name for re-attachment. |
Canonical invocation
pi -p --cwd ./runs/<task-id> <<< "$PROMPT"
Or wrapped:
./delegate.sh <context-dir> <prompt-file> [session-name]
Patterns
- Fan-out: Spawn multiple agents against sibling directories; collect
return.mdfiles. - Pipeline: Child stdout piped into next child stdin, or into parent post-processor.
- Supervisor: Named tmux session for long-running work. Re-attach with
tmux attach -t <name>.
Why This Skill Exists
The harness is self-composing. An agent that can invoke pi via bash is a Lisp eval. Without a documented envelope every spawn is bespoke. This skill provides the minimal contract so that recursive delegation remains inspectable and portable across enso instances.
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.
- yesterday First seen · 40 lines · 42 tokens per session scan A 7eb22ecb99ce
delegate is a skill published in the GitHub repository usefulmove/enso (2 stars, last pushed 2mo ago), licensed MIT. It adds 42 tokens to every session and 359 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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