research

research is a skill for Claude Code, Codex from griffinwork40/agent-afk. It costs 21 tokens per session (523 once invoked), scanned A, original, Apache-2.0.

A context-gathering workflow that combines external research with inspection of the local project. It sends out two research tasks and merges their findings.

In plain words
What is it for?
Use it to investigate a technical task, product area, or domain by researching relevant sources and checking local code, documents, tests, or other artifacts.
Why use it?
It helps when a task depends on both outside information and project-specific files, so decisions are based on a wider context.

Skill for Claude CodeCodex

Part of the awa-bundled plugin — 18 skills shipped together

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.

agentmods
npx agentmods add skills/griffinwork40/agent-afk/research
Any agent
npx skills add griffinwork40/agent-afk --skill research
Clone the repo
git clone --depth 1 https://github.com/griffinwork40/agent-afk

Made for: Claude Code, Codex.

Or install awa-bundled, the plugin that ships this one along with the rest of its 18 skills.

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 research

README.md
[![agentmods](https://agentmods.dev/badge/skills/griffinwork40/agent-afk/research.svg)](https://agentmods.dev/skills/griffinwork40/agent-afk/research)
Your own site
<a href="https://agentmods.dev/skills/griffinwork40/agent-afk/research"><img src="https://agentmods.dev/badge/skills/griffinwork40/agent-afk/research.svg" alt="Measured on agentmods" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 523 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00021 $0.00523
Opus 5 $0.00010 $0.00262
Sonnet 5 $0.00004 $0.00105
Haiku 4.5 $0.00002 $0.00052

Measured 5d ago against content hash abe79d75a5f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

research 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 5d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • research — 100% identical, 0 lines differ
src/bundled-plugins/awa-bundled/skills/research/SKILL.md · 35 lines

How it starts

The opening of the file, as written. The whole thing — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sub-agent contract

/contract

Dispatch two sub-agents in parallel using the Agent tool. Prefer subagent_type: "research-agent"; fall back to subagent_type: "Explore" with thoroughness "very thorough" if the research-agent is not available. One researches the web for external context relevant to the current task. The other inspects the local working directory for domain-relevant artifacts. Return a concise merged research brief highlighting relevant findings, conflicts, risks, and implications for the task.

Web research agent — always the same: search for external context, prior art, patterns, APIs, and comparable approaches relevant to the task. Domain-agnostic.

Local inspection agent — adapt to the domain:

Domain What to inspect
software Code, config files, package manifests, CI configs, test suites, git history, README/docs, existing patterns and conventions
research Papers (PDF/LaTeX), notes, data files, citation databases (.bib), lab notebooks, analysis scripts, prior drafts
design Design files (Figma exports, SVGs, mockups), brand guidelines, component libraries, user research docs, style guides
business Financial models, strategy docs, market research, pitch decks, competitive analyses, KPI dashboards, stakeholder maps
(other) Scan the working directory for any files relevant to the stated domain — documents, data, config, scripts — and describe what you find

When domain is unspecified, infer it: git repo → software; PDFs/LaTeX/.bib → research; design assets → design; spreadsheets/decks → business. If ambiguous, inspect broadly and note what you found.

Coverage reporting

Both agents must end their response with a coverage assessment:

  • Coverage confidence: low / medium / high — how thoroughly could this domain be searched?
  • Known gaps: what couldn't be accessed? (proprietary databases, paywalled papers, unpublished work, practitioner-only knowledge)
  • Tacit knowledge risk: low / medium / high — is this a domain where critical knowledge is unwritten or not documented online?

Read the full file on GitHub · 35 lines

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. 5d ago First seen · 35 lines · 21 tokens per session scan A abe79d75a5f3

Subscribe to this mod's changes

research is a skill published in the GitHub repository griffinwork40/agent-afk (54 stars, last pushed today), licensed Apache-2.0. It adds 21 tokens to every session and 523 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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