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 aksika/abtars --skill delegationgit clone --depth 1 https://github.com/aksika/abtarsWrote 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/aksika/abtars/delegation)<a href="https://agentmods.dev/skills/aksika/abtars/delegation"><img src="https://agentmods.dev/badge/skills/aksika/abtars/delegation.svg" alt="Measured on agentmods" 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 | $0.00013 | $0.00424 |
| Opus 5 | $0.00006 | $0.00212 |
| Sonnet 5 | $0.00003 | $0.00085 |
| Haiku 4.5 | $0.00001 | $0.00042 |
Grade A, and why
delegation 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 6d 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
Background Delegation
You can spawn independent background sessions that work on tasks while you continue the conversation.
Tools
spawn_session(type, goal, context?)— start a background worker. Returns task_id immediately.check_session(task_id)— check status: running / done / failed / terminatedsend_to_session(task_id, message)— send a follow-up instruction to a running childterminate_session(task_id)— stop a running background session
When to use
- User asks for something that requires many tool calls (research, file operations, code refactoring) AND also wants a quick answer to something else
- A task is independent and doesn't need your active attention (e.g. "run these tests in the background")
- You want to parallelize: spawn one session for task A, respond about task B yourself
When NOT to use
- Simple tasks you can do inline in 1-3 tool calls
- Tasks that need user interaction mid-way (children can't talk to the user)
- Tasks where you need the result before responding (just do it inline)
Flow
- Spawn:
spawn_session(type: "code", goal: "refactor auth module to use JWT") - Continue responding to the user normally
- On your next turn, completed results appear automatically in your context as
[Background session ... completed] - Incorporate the result into your response
Types
code— coding tasks (gets coding model/prompt)browse— web research (gets browser tools)task— general tasks
Limits
- Max 3 concurrent background sessions
- 10 minute timeout per session
- Children cannot talk to the user — only you can
- Children have the same tools as you (bash, memory, web)
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.
- 6d ago First seen · 49 lines · 13 tokens per session scan A aff78bb20062
delegation is a skill published in the GitHub repository aksika/abtars (9 stars, last pushed 2d ago), licensed Apache-2.0. It adds 13 tokens to every session and 424 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.
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