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/ethanolivertroy/my-agent-stuff/parallel-handoff-plangit clone --depth 1 https://github.com/ethanolivertroy/my-agent-stuffWrote 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/commands/ethanolivertroy/my-agent-stuff/parallel-handoff-plan)<a href="https://agentmods.dev/commands/ethanolivertroy/my-agent-stuff/parallel-handoff-plan"><img src="https://agentmods.dev/badge/commands/ethanolivertroy/my-agent-stuff/parallel-handoff-plan.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 | $0.00010 | $0.00646 |
| Opus 5 | $0.00005 | $0.00323 |
| Sonnet 5 | $0.00002 | $0.00129 |
| Haiku 4.5 | $0.00001 | $0.00065 |
Grade A, and why
parallel-handoff-plan 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
Use parallel subagents to understand the request, compare any external references, inspect the local codebase, and produce a grounded implementation handoff plan with a final implementation-ready meta-prompt.
Primary request, target, or focus:
$@
Use context: "fresh" unless I explicitly ask for forked context. First read or fetch any URLs, issue links, PRs, screenshots, plans, docs, or local files mentioned in the request. Treat them as primary scope, not optional context.
Use the subagent tool in chain mode:
-
First step: a parallel group.
researcher, when the request includes external references, APIs, libraries, docs, current best practices, or prompt-guidance research.context-builderfor local codebase context.- Add a second
context-builderonly when the scope is large enough to benefit from a separate implementation-strategy pass.
-
Second step: a synthesis
context-builderthat reads the parallel findings and writes the final handoff plan and meta-prompt.
Use distinct output paths under the chain directory. Example outputs:
handoff/external-reference.mdhandoff/local-context.mdhandoff/implementation-strategy.mdhandoff/final-handoff-plan.md
Do not write these artifacts into the repository unless I explicitly ask for persistent files.
Role guidance:
External reference researcher:
- Study linked projects, docs, issues, examples, source code, or prompt guidance.
- Identify the behavior, API, implementation files, constraints, and transferable ideas.
- Conduct web research if needed. Use
web_searchif it is available; otherwise use whatever equivalent research capability is available. - Return source links, repo paths, key evidence, risks, and what matters for this implementation.
Local context-builder:
- Read all files needed to fully understand the local issue, not just the first match.
- Follow imports, callers, tests, fixtures, configuration, docs, and adjacent patterns until the local problem, solution space, and validation path are clear.
- Return relevant file paths and line ranges, current architecture, constraints, tests, risks, and open questions.
Implementation-strategy context-builder, when used:
- Compare the external evidence against the local architecture.
- Propose the safest implementation shape, files likely to change, edge cases, validation commands, and decisions that need approval.
- Stay review/planning-only unless I explicitly ask for implementation.
Final synthesis context-builder:
- Read the parallel outputs and produce one concise handoff plan.
- Include what the feature/change should do, what the external reference teaches, what the local codebase implies, the recommended approach, likely files to change, constraints, non-goals, validation, risks, and unresolved questions.
- End with a compact implementation-ready meta-prompt for the next worker/planner.
After the chain returns, synthesize the result for me with:
- the recommended approach;
- artifact paths;
- the final meta-prompt;
- any questions or assumptions that remain.
Do not start implementation from this command unless I explicitly ask for it.
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 · 60 lines · 10 tokens per session scan A 8a4084b1c2d7
parallel-handoff-plan is a command published in the GitHub repository ethanolivertroy/my-agent-stuff (11 stars, last pushed 1mo ago), licensed MIT. It adds 10 tokens to every session and 646 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 2026-08-30.
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