Sample Strands Agent with Amazon Bedrock AgentCore is an end-to-end reference architecture for building multi-agent chatbots on AWS. Teams use it to explore agent orchestration, tool execution, memory, browser automation, and agent-to-agent collaboration with Strands Agents and Bedrock AgentCore.
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 aws-samples/sample-strands-agent-with-agentcore --skill delegate-workgit clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcoreWrote 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/aws-samples/sample-strands-agent-with-agentcore/delegate-work)<a href="https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/delegate-work"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/delegate-work/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.
<a href="https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/delegate-work"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/delegate-work.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00058 | $0.00492 |
| Opus 5.5 | $0.00023 | $0.00197 |
| Sonnet 5.5 | $0.00012 | $0.00098 |
| Haiku 4.5 | $0.00006 | $0.00049 |
Grade A, and why
delegate-work 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 2mo 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Delegate Work
Delegate only work that is independent enough to finish in an isolated context.
Scope the task
- Give one concrete goal and one deliverable.
- Provide observable acceptance criteria.
- Pass only the workspace paths and context required for the task.
- State explicit non-goals in
constraints. - Never copy the full conversation into
context_summary. - Split unrelated deliverables into separate delegations.
Do not delegate requests such as "investigate everything", "fix all issues", or "continue helping with this project". Narrow them first.
Select a profile
- Use
analystfor data inspection, computation, experiments, and generated artifacts. It can use the session Code Interpreter. - Use
reviewerfor an independent read-only review. It cannot execute code or modify source files.
Select task complexity
- Use
lowfor narrow extraction, classification, or simple checks. - Use
mediumfor normal analysis and review work. - Use
highonly for genuinely difficult reasoning or broad synthesis. - Omit
task_complexitywhen the delegated agent should inherit the parent model unchanged.
Execute
Call delegate_task once. It returns an acceptance receipt immediately.
Continue the foreground conversation without waiting for completion.
Never expose or invent internal job identifiers; they are orchestration metadata
owned by the activity UI and backend.
Use get_delegation only when the user asks for status or the result is needed
before another decision. Filter by profile or distinctive goal text. Use
cancel_delegation only for an explicit request to cancel a background job;
if multiple jobs match, narrow the goal instead of guessing.
Boundaries
- Do not delegate recursively.
- Do not use delegation for Gmail, Calendar, Notion, GitHub writes, OAuth, or other external side effects.
- Do not ask the subagent to modify files outside its output directory.
- Do not assume an interrupt of the foreground response cancels an accepted delegation.
- Treat the mailbox completion as the authoritative terminal result.
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.
- 2mo ago First seen · 58 lines · 58 tokens per session scan A 41571c142df3
delegate-work is a skill published in the GitHub repository aws-samples/sample-strands-agent-with-agentcore (197 stars, last pushed 5d ago), licensed MIT. It adds 58 tokens to every session and 492 once invoked, about $0.0002 per session on Opus 5.5. 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.
delegate-work compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| delegate-workaws-samples/sample-strands-agent-with-agentcore | Skill | 197 | 5d ago | MIT | A | 58 | Claude Code, Codex |
| mk:agent-browserngocsangyem/MeowKit | Skill | 15 | 5d ago | MIT | A | 114 | Claude Code |
| draw-imageai-sns/ai-sns | Skill | 323 | 3mo ago | MIT | A | 67 | Claude Code, Codex |
| governed-postgres-agentaws-samples/sample-pellier-agentic-search-apg | Skill | 12 | yesterday | MIT | A | 54 | Claude Code, Codex |
| care-and-returnsaws-samples/sample-pellier-agentic-search-apg | Skill | 12 | yesterday | MIT | A | 29 | Claude Code, Codex |
| evidenceaws-samples/sample-pellier-agentic-search-apg | Skill | 12 | yesterday | MIT | A | 38 | Claude Code, Codex |
| makersaws-samples/sample-pellier-agentic-search-apg | Skill | 12 | yesterday | MIT | A | 39 | Claude Code, Codex |