Aha-Loop: Skill for Claude Code

.agents/skills/research/SKILL.md

research is a skill for Claude Code, Codex from YougLin-dev/Aha-Loop. It costs 39 tokens per session (2,055 once invoked), scanned A, original, MIT.

A research workflow for Aha Loop development stories. It investigates unfamiliar libraries, technical approaches, and implementation choices, then records the findings for later work.

In plain words
What is it for?
Use it before building a story that names unfamiliar dependencies or architectural choices, to produce a research report and update the project's knowledge base.
Why use it?
It reduces the risk of making implementation decisions without understanding the relevant tools, documentation, or alternatives.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is YougLin-dev/Aha-Loop's own configuration. It tells Claude Code and Codex how to work on Aha-Loop itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Aha-Loop configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./scripts/aha-loop/fetch-source.sh rust tokio 1.35.0.

Reuse

Borrowing it

Nothing to install: this file belongs to YougLin-dev/Aha-Loop. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/YougLin-dev/Aha-Loop/main/.agents/skills/research/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/YougLin-dev/Aha-Loop

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 research

README.md
[![agentmods](https://agentmods.dev/badge/skills/youglin-dev/aha-loop/research/github.svg)](https://agentmods.dev/skills/youglin-dev/aha-loop/research)
Your own site
<a href="https://agentmods.dev/skills/youglin-dev/aha-loop/research"><img src="https://agentmods.dev/badge/skills/youglin-dev/aha-loop/research/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 research

Your own site · 80×15
<a href="https://agentmods.dev/skills/youglin-dev/aha-loop/research"><img src="https://agentmods.dev/badge/skills/youglin-dev/aha-loop/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,055 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00039 $0.02055
Opus 5.5 $0.00016 $0.00822
Sonnet 5.5 $0.00008 $0.00411
Haiku 4.5 $0.00004 $0.00205

Measured 2mo ago against content hash 550a49da6e61, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

research scanned grade A with 1 finding 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 2mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s "https://crates.io/api/v1/crates/tokio" | jq '.crate.max_stable_version'
.agents/skills/research/SKILL.md · 340 lines

How it starts

The opening of the file, as written. The whole thing — 340 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Research Skill

Conduct thorough technical research before implementation to ensure high-quality, informed decisions.

Workspace Mode Note

When running in workspace mode, all paths are relative to .aha-loop/ directory:

  • Research reports: .aha-loop/research/ (not scripts/aha-loop/research/)
  • Knowledge base: .aha-loop/knowledge/ (not knowledge/)
  • Vendor directory: .aha-loop/.vendor/ (not .vendor/)

The orchestrator will provide the actual paths in the prompt context.


The Job

  1. Identify research topics from the current story's researchTopics field
  2. Fetch third-party library source code if needed
  3. Search documentation and best practices
  4. Analyze and compare alternatives
  5. Generate a research report
  6. Update knowledge base with findings
  7. Mark researchCompleted: true in prd.json

Research Process

Step 1: Identify What to Research

Read the current story from prd.json and extract:

  • researchTopics - explicit topics to investigate
  • Dependencies mentioned in acceptance criteria
  • Patterns referenced in the description

Also check:

  • Previous story's learnings field for follow-up research needs
  • knowledge/project/gotchas.md for related known issues

Step 2: Fetch Library Source Code (If Needed)

For any third-party library research, fetch the source:

# Fetch specific library
./scripts/aha-loop/fetch-source.sh rust tokio 1.35.0

# Or fetch all project dependencies
./scripts/aha-loop/fetch-source.sh --from-deps

After fetching, the source will be at .vendor/<ecosystem>/<name>-<version>/


Library Version Selection

Always Prefer Latest Stable Versions

When researching or recommending libraries, always check for and prefer the latest stable version unless there's a specific compatibility reason not to.

Version Research Process

  1. Query the package registry for latest version:

    # Rust (crates.io)
    curl -s "https://crates.io/api/v1/crates/tokio" | jq '.crate.max_stable_version'
    
    # Or use cargo
    cargo search tokio --limit 1
    
    # Node.js (npm)
    npm view react version
    
    # Python (PyPI)
    pip index versions requests 2>/dev/null | head -1
    

Read the full file on GitHub · 340 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. 2mo ago First seen · 340 lines · 39 tokens per session scan A 550a49da6e61

Subscribe to this mod's changes

research is a skill published in the GitHub repository YougLin-dev/Aha-Loop (178 stars, last pushed 9mo ago), licensed MIT. It adds 39 tokens to every session and 2,055 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

research compared with skills from other repositories

research next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
researchYougLin-dev/Aha-LoopSkill1789mo agoMITA39Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143ktodayMITA103Claude Code