specialist-handoff

specialist-handoff is a skill for Claude Code, Codex from hdu-ailab/EasyResearch. It costs 40 tokens per session (2,083 once invoked), scanned A, original, MIT.

A handoff procedure for a specialist agent that records its work in a project Markdown file before finishing. The record states what it inspected, changed, produced, could not resolve, and recommends next.

In plain words
What is it for?
Use it at the end of normal search, experiment, writing, figures, or review runs, including completed, partial, blocked, and continued runs.
Why use it?
It gives the calling agent a durable, inspectable summary instead of making it reconstruct the work from the conversation alone.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it at the end of normal search, experiment, writing, figures, or review runs, including completed, partial, blocked, and continued runs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hdu-ailab/easyresearch/specialist-handoff
Install

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.

Any agent
npx skills add hdu-ailab/EasyResearch --skill specialist-handoff
Clone the repo
git clone --depth 1 https://github.com/hdu-ailab/EasyResearch

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for specialist-handoff

README.md
[![agentmods](https://agentmods.dev/badge/skills/hdu-ailab/easyresearch/specialist-handoff/github.svg)](https://agentmods.dev/skills/hdu-ailab/easyresearch/specialist-handoff)
Your own site
<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.

agentmods 80×15 button for specialist-handoff

Your own site · 80×15
<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>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,083 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.02083
Opus 5.5 $0.00016 $0.00833
Sonnet 5.5 $0.00008 $0.00417
Haiku 4.5 $0.00004 $0.00208

Measured 15d ago against content hash 69a8b9153afe, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 15d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/publish_immutable.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

src/skills/specialist-handoff/SKILL.md · 211 lines

How it starts

The opening of the file, as written. The whole thing — 211 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

The immutable handoff and terminal template apply to actual specialist children, not the user-facing Research Assistant. In single-Agent mode the Research Assistant may use the long-document recovery recipe below, but gives a natural user-facing result without creating a specialist handoff for itself.

Apply this Skill to every normally terminating Search, Experiment, Writing, Figures, or Review run, including:

  • complete, partial, and blocked outcomes;
  • 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.

Long Documents And Interrupted Writes

Apply this recipe before generating a long report, manuscript, or handoff. A complete draft is required before publication; it need not be generated in one tool call. Context-window capacity is not an output-token or time budget.

  1. Establish the section order. Create a unique hidden .parts-<role>-<UUID>/ directory beside the intended draft, within the role's authorized artifact root. Review's report pieces belong under reviews/; manuscript pieces under manuscript/. Record the directory and ordered filenames in working notes.
  2. Use one write call per small section, for example 01-scope.md, then 02-findings.md. Split a long section further. Wait for each successful result and inspect the saved section before moving on; keep calls comfortably below the model's output limit. Do not put all sections into one tool batch or one giant shell command. write replaces a file, never appends.
  3. After interruption, inspect the exact attempted file and confirmed pieces. A streamed path or prose announcement is not execution evidence. Preserve completed pieces; regenerate only missing or incomplete pieces. A read error other than confirmed absence is a blocker to resolve, not permission to overwrite. Never blindly append a retry or retransmit the whole document.
  4. Read the pieces and check required sections, findings, evidence locators and ordering. Assemble an explicit ordered list, not a wildcard, locally into a fresh unique draft. This short Python recipe reads every piece before opening the destination, retains pieces on failure, and refuses to overwrite a draft:

Read the full file on GitHub · 211 lines

Files

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.

Changes

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.

  1. 15d ago Changed · -26 lines 69a8b9153afe
  2. 1mo ago Changed · +64 lines · +6 tokens per session 505296ecb9a7
  3. 1mo ago Changed · +31 lines 1e39ea699821
  4. 1mo ago First seen · 142 lines · 34 tokens per session scan A bbabb07aaa95

Subscribe to this mod's changes

specialist-handoff is a skill published in the GitHub repository hdu-ailab/EasyResearch (14 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 2,083 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.

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