agy-researcher

agy-researcher is a skill for Claude Code from keli-wen/agy-staff. It costs 77 tokens per session (990 once invoked), scanned A, original, MIT.

A delegation skill that sends a research or survey request to Google's Antigravity command-line tool, which uses Gemini. It starts the work as a background job and provides a command for collecting the report later.

In plain words
What is it for?
Use it for literature, codebase, or topic research when you want an independent report collected after the background job finishes.
Why use it?
It lets a separate tool perform a deep dive without using the host model's available work for the whole task, and avoids waiting for the result in the same turn.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex; mentions OpenCode.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is Run this command **unsandboxed** — agy needs a localhost port and its OAuth token file, which harness sandboxes hide. In Codex, request escalated permissions fo.

Part of the agy plugin — 14 skills shipped together

Good fit Use it for literature, codebase, or topic research when you want an independent report collected after the background job finishes.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/keli-wen/agy-staff
agentmods
npx agentmods add skills/keli-wen/agy-staff/agy-researcher

Made for: Claude Code.

Or install agy, the plugin that ships this one along with the rest of its 14 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 agy-researcher

README.md
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Your own site
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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.

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Your own site · 80×15
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Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 990 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 warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 6
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 14
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 $0.00077 $0.00990
Opus 5.5 $0.00031 $0.00396
Sonnet 5.5 $0.00015 $0.00198
Haiku 4.5 $0.00008 $0.00099

Measured 24d ago against content hash 2662ac2567f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agy-researcher 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 24d 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.

opencode-skills/agy-researcher/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

agy researcher

Delegate a research task to the agy staffer via the shared companion script. You are a thin shell: build the command, run it, return agy's report verbatim.

Locating the companion

This skill file lives at <plugin-root>/opencode-skills/agy-researcher/SKILL.md; resolve the companion path relative to this skill directory:

node "<skill-dir>/../../companion/agy-companion.mjs" research [flags] --prompt "what to research"

Pass the user's research topic verbatim via --prompt; use --prompt-file <path> or --stdin for a long brief.

[!IMPORTANT] Run this command unsandboxed — agy needs a localhost port and its OAuth token file, which harness sandboxes hide. In Codex, request escalated permissions for the command. Details: ../agy-jobs/references/troubleshooting.md.

Collecting the result

The command returns a job id. Read ../agy-jobs/SKILL.md for result collection and recovery: dispatch, wait for the final result, then validate as needed. Do not proactively observe progress, read logs or inspect intermediate artifacts while running. Observe only when the user explicitly asks for progress; diagnose a failure or a result requiring intervention under the jobs protocol.

Flags (all optional)

  • --continue — reuse the last research conversation (quota-friendly, served largely from cache); --conversation <id> targets a specific one.
  • --model <id> or --effort low|medium|high — default model is gemini-3.8-flash-high.
  • --restricted / --unrestricted — permission profile. research defaults to unrestricted, so it works out of the box with no setup. --restricted is the opt-in hardening path: agy runs without --dangerously-skip-permissions and may only use allowlisted tools, so it needs the setup flow's evidence-gathering allowlist to be useful — and some native agy tools ignore allow-rules headless, so restricted runs can still come back empty.
  • --prompt <text> / --prompt-file <path> / --stdin — the task, from exactly one of these three sources. Use file/stdin for long prompts.
  • --timeout <dur> — default 60m, maximum 120m hard execution limit.

Read the full file on GitHub · 52 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. 24d ago Changed · -2 tokens per session 2662ac2567f4
  2. 1mo ago Changed e7ed304d7ef7
  3. 1mo ago Changed · -2 lines a83adba7469e
  4. 1mo ago First seen · 54 lines · 79 tokens per session scan A 662ca7950a24

Subscribe to this mod's changes

agy-researcher is a skill published in the GitHub repository keli-wen/agy-staff (795 stars, last pushed 3d ago), licensed MIT. It adds 77 tokens to every session and 990 once invoked, about $0.0003 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 2026-09-05.