research

research is a skill for Claude Code, Codex from harshanandak/forge. It costs 242 tokens per session (2,294 once invoked), scanned A, original, MIT.

A general investigation process for checking claims and researching technical or project questions using evidence, including primary sources such as official documentation.

In plain words
What is it for?
Checking whether an API or library supports something, researching current practices and documentation, finding prior art, studying a codebase, and preparing evidence for a plan.
Why use it?
It helps replace guesses with verified information and makes alternatives, trade-offs, risks, and supporting evidence easier to compare.

Skill for Claude CodeCodex

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

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/harshanandak/forge/research.svg)](https://agentmods.dev/skills/harshanandak/forge/research)
Your own site
<a href="https://agentmods.dev/skills/harshanandak/forge/research"><img src="https://agentmods.dev/badge/skills/harshanandak/forge/research.svg" alt="Measured on agentmods" height="20"></a>
Per session 242 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,294 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 $0.00242 $0.02294
Opus 5 $0.00121 $0.01147
Sonnet 5 $0.00048 $0.00459
Haiku 4.5 $0.00024 $0.00229

Measured 4d ago against content hash b5fe8e686f38, 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 4d 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/research/SKILL.md · 197 lines

How it starts

The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Investigate anything, from anywhere: verify a claim, search the web, find better options, pull inspiration from stronger sources, weigh perspectives, and package technical research for a plan.

Research

/research is a first-class capability, not a stage. Any agent may invoke it at any point — standalone, or in the middle of another skill — whenever a question needs evidence before a decision. It is broader than parallel-deep-research: that sibling is a heavyweight external market/industry report; this skill is your everyday "go find out and come back with evidence."

When to use it

  • Verify a claim — "is this API deprecated?", "does this library support X?", "is this the current best practice?" Confirm or refute against primary sources.
  • Find a better way / better options — enumerate real alternatives and compare trade-offs.
  • Web research — best practices, gotchas, current docs, changelogs, version differences.
  • Inspiration / prior art — pull stronger plans, patterns, and reference implementations from better sources than memory.
  • Multi-perspective — see it done the right way AND the wrong way; steelman and red-team.
  • Codebase research — DRY, blast-radius, reusable patterns already in the repo.
  • /plan Phase 2 bundle — the packaged deliverable plan delegates to (see "Plan bundle").

How to invoke

Standalone (user asks directly):

/research <question or claim>

From inside another skill or agent — call the Skill tool mid-flow:

Skill("research")   # then hand it the specific question + why you're asking

Always give research: (1) the concrete question or claim, (2) the decision it feeds, and (3) any constraints (stack, versions, repo area). Research returns evidence, not opinion: cited findings, and — when a caller needs it — a recommendation with the trade-offs shown.


Modes

Pick the mode(s) that fit the question. Most investigations combine two or three.

Mode A — Verify / fact-check a claim

Read the full file on GitHub · 197 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. 4d ago First seen · 197 lines · 242 tokens per session scan A b5fe8e686f38

Subscribe to this mod's changes

research is a skill published in the GitHub repository harshanandak/forge (4 stars, last pushed 4d ago), licensed MIT. It adds 242 tokens to every session and 2,294 once invoked, about $0.0012 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 2026-08-31.

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