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 hdu-ailab/EasyResearch --skill specialist-handoffgit clone --depth 1 https://github.com/hdu-ailab/EasyResearchWrote 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/hdu-ailab/easyresearch/specialist-handoff)<a href="https://agentmods.dev/skills/hdu-ailab/easyresearch/specialist-handoff"><img src="https://agentmods.dev/badge/skills/hdu-ailab/easyresearch/specialist-handoff/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/hdu-ailab/easyresearch/specialist-handoff"><img src="https://agentmods.dev/badge/skills/hdu-ailab/easyresearch/specialist-handoff.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 | $0.00034 | $0.01190 |
| Opus 5 | $0.00017 | $0.00595 |
| Sonnet 5 | $0.00007 | $0.00238 |
| Haiku 4.5 | $0.00003 | $0.00119 |
Grade A, and why
specialist-handoff 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 11d 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Specialist Handoff
Purpose
Before every normal terminal response, write one immutable project-local record of what this specialist inspected, did, produced, could not resolve, and recommends next. The chat response wakes the caller; the Markdown file lets the caller verify the work without reconstructing it from transcript prose.
This is an artifact contract, not runtime state. Pi session JSONL and the hidden
<agent_status> plus <agent_handoff> notification remain authoritative for
runtime completion, Error, Stop, and continuation.
When To Apply
Apply this Skill to every normally terminating Search, Experiment, Writing, Figures, or Review run, including:
complete,partial, andblockedoutcomes;- a fresh child run;
- every turn that continues a completed agent id.
A hard runtime Error or external interruption may prevent file creation. Never invent a handoff for work the specialist did not complete or observe.
Immutable Path
Create:
handoffs/<role>-YYYYMMDD-HHmmss-SSS.md
Use UTC and filesystem-safe digits with no colon. The bundled publisher uses
Python's cross-platform UTC clock; do not use GNU-only date %N. Examples:
handoffs/search-20260827-153012-123.md
handoffs/experiment-20260827-153015-004.md
handoffs/review-20260827-153101-877.md
Write the complete content first to a unique
handoffs/.draft-<role>-<UUID>.md, then publish it atomically. Generate the UUID
with Python uuid.uuid4() or PowerShell [guid]::NewGuid(); the draft is not a
handoff and is removed only after successful publication.
Run the shell with the exact session cwd as its working directory and use the absolute path of this loaded Skill's publisher. Linux/macOS:
"$EASYRESEARCH_VENV/bin/python" <specialist-handoff-skill-dir>/scripts/publish_immutable.py \
--directory handoffs --prefix search \
--source handoffs/.draft-search-<UUID>.md
Windows PowerShell, also from the exact session cwd:
$python = Join-Path $env:EASYRESEARCH_VENV 'Scripts\python.exe'
& $python <specialist-handoff-skill-dir>\scripts\publish_immutable.py `
--directory handoffs --prefix search `
--source handoffs\.draft-search-<UUID>.md
What ships with it
2 files 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.
- 11d ago First seen · 142 lines · 34 tokens per session scan A bbabb07aaa95
specialist-handoff is a skill published in the GitHub repository hdu-ailab/EasyResearch (13 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 1,190 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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