aigon-research-do

aigon-research-do is a skill for Claude Code from jayvee/aigon. It costs 15 tokens per session (1,387 once invoked), scanned A, original, Apache-2.0.

A research execution step that investigates an approved research topic and writes the findings to a designated file.

In plain words
What is it for?
Use it to conduct research from an in-progress topic and record the results for later evaluation.
Why use it?
It gives research agents a clear workflow and limits them to the findings file, reducing accidental changes to code or other agents’ work.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: installed under .agents/ (shared by several agents).

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/jayvee/aigon/aigon-research-do
Any agent
npx skills add jayvee/aigon --skill aigon-research-do
Clone the repo
git clone --depth 1 https://github.com/jayvee/aigon

Made for: Claude Code.

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 aigon-research-do

README.md
[![agentmods](https://agentmods.dev/badge/skills/jayvee/aigon/aigon-research-do.svg)](https://agentmods.dev/skills/jayvee/aigon/aigon-research-do)
Your own site
<a href="https://agentmods.dev/skills/jayvee/aigon/aigon-research-do"><img src="https://agentmods.dev/badge/skills/jayvee/aigon/aigon-research-do.svg" alt="Measured on agentmods" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,387 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 5.1 $0.00015 $0.01387
Opus 5 $0.00008 $0.00694
Sonnet 5 $0.00003 $0.00277
Haiku 4.5 $0.00002 $0.00139

Measured 6d ago against content hash 4393bb06fde0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

aigon-research-do 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.

.agents/skills/aigon-research-do/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

aigon-research-do

Run this command followed by the Research ID.

aigon research-do $ARGUMENTS

Argument Resolution

If no ID is provided, or the ID doesn't match an existing topic in progress:

  1. List all files in ./docs/specs/research-topics/03-in-progress/ matching research-*.md
  2. If a partial ID or name was given, filter to matches
  3. Present the matching topics and ask the user to choose one

This command is the research equivalent of feature-do: it is the main work step after research-start.

Step 0: Verify your workspace (MANDATORY)

Before doing ANYTHING else, verify your environment:

pwd
git branch --show-current

Research agents work in the main repository on the current branch. This is normal — research does not require branch isolation because you are only writing findings files, not modifying code.

CRITICAL RULES for research:

  • You MUST NOT modify any source code files (.js, .ts, .py, .json, etc.)
  • You MUST NOT modify other agents' findings files
  • You MUST ONLY write to YOUR findings file: docs/specs/research-topics/logs/research-{ID}-op-findings.md
  • You MUST NOT run git checkout, git branch, or create new branches — stay where you are

Required Lifecycle Step

Before starting active research, run:

aigon agent-status implementing

This updates your agent state in the main repo so the dashboard and coordinator know you're actively working.

Your Task

  1. Find the research topic in docs/specs/research-topics/03-in-progress/research-{ID}-*.md

  2. Check for worktree/Fleet mode: Look for your findings file at: docs/specs/research-topics/logs/research-{ID}-op-findings.md

  3. Conduct deep research to answer each question in the research doc. Go broad before going deep:

    How to research thoroughly:

    • Search the web for documentation, blog posts, comparisons, and real-world usage. Don't rely only on what's in the codebase.
    • Read primary sources — official docs, GitHub repos, RFCs — not just summaries.
    • Explore multiple approaches before settling on one. For each question, consider at least 2-3 alternatives.
    • Look at the codebase to understand current patterns, constraints, and what's already been tried.
    • Compare trade-offs with evidence, not just intuition. Include concrete pros/cons.
    • Cite your sources — every claim should link back to where you found it.

Read the full file on GitHub · 132 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. 6d ago First seen · 132 lines · 15 tokens per session scan A 4393bb06fde0

Subscribe to this mod's changes

aigon-research-do is a skill published in the GitHub repository jayvee/aigon (25 stars, last pushed 5d ago), licensed Apache-2.0. It adds 15 tokens to every session and 1,387 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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