research

research is a skill for Claude Code, Codex from xobotyi/cc-foundry. It costs 43 tokens per session (2,779 once invoked), scanned A, original, MIT.

A research skill for investigating an existing codebase and recording factual findings about its code, patterns, and architecture.

In plain words
What is it for?
It helps trace existing behavior, identify relevant files and dependencies, and document the current architecture before design work.
Why use it?
It separates evidence about how the software works from assumptions about what someone wants to build.

Skill for Claude CodeCodex

Part of the the-blueprint plugin — 9 skills, 1 agent 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/xobotyi/cc-foundry/research
Any agent
npx skills add xobotyi/cc-foundry --skill research
Clone the repo
git clone --depth 1 https://github.com/xobotyi/cc-foundry

Made for: Claude Code, Codex.

Or install the-blueprint, the plugin that ships this one along with the rest of its 9 skills, 1 agent.

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/xobotyi/cc-foundry/research.svg)](https://agentmods.dev/skills/xobotyi/cc-foundry/research)
Your own site
<a href="https://agentmods.dev/skills/xobotyi/cc-foundry/research"><img src="https://agentmods.dev/badge/skills/xobotyi/cc-foundry/research.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,779 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 $0.00043 $0.02779
Opus 5 $0.00022 $0.01389
Sonnet 5 $0.00009 $0.00556
Haiku 4.5 $0.00004 $0.00278

Measured yesterday against content hash 5cfb6eb476ce, 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 yesterday.

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.

plugins/the-blueprint/skills/research/SKILL.md · 272 lines

How it starts

The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research

Objective codebase investigation that produces factual findings blind to the intent expressed in the discovery brief. The lead reads the brief and generates neutral questions. Teammates investigate the codebase. The lead compiles findings. No teammate ever sees the brief, the ticket, or the user's goals.

Environment

Agent teams: !echo ${CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS:-disabled}

Prerequisites

  1. If agent teams shows disabled above, stop immediately and tell the user:

    Agent teams are required for parallel research. Enable them by adding to your settings:

    { "env": { "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1" } }
    

    Then restart the session.

    Teammates also need an interactive session. Under claude -p, a named spawn runs as an ordinary subagent — the waves still work, but findings return as subagent results instead of SendMessage.

  2. Locate the brief:

    • Discovery handoff — the brief is already in conversation context. Use it directly.
    • Standalone invocation$ARGUMENTS names a brief, or ask the user to provide one. Read it into conversation context — the skill works from context.
    • If no brief exists in conversation or on disk, ask the user whether to run discovery first.

Process

Phase 1 — Plan and Dispatch

  1. Read the brief from conversation context.
  2. Identify the codebase scope clusters the brief touches (modules, directories, subsystems).
  3. For each scope, formulate the questions worth investigating. Follow the question generation rules below.
    • Multiple questions per scope is normal. Group questions that share files to avoid duplicate reads across teammates.
    • Don't fix a question count up-front. Let the brief's complexity determine how many.
    • The brief's Questions for research list (facts discovery deferred) is mandatory input — every entry becomes an investigation question, rewritten through the same neutrality rules as any other.
  4. Self-check questions against the bias validation gate.
  5. For each scope cluster, create a task via TaskCreate using the task description format below, then spawn one teammate via Agent with subagent_type: "codebase-researcher", name: "researcher-{scope-slug}", and an intent-free spawn prompt (see Spawn Prompt below).
    • The name is what makes the spawn a teammate, and it is the address other agents use to message it. There is no team to create — the session owns one team — and team_name is ignored.
    • Task descriptions contain only questions and scope boundaries. Never the brief, ticket, or intent.
    • Explicit subagent_type ensures the teammate inherits the agent's tool restrictions and system prompt; without it, the platform falls back to the general-purpose agent.
    • If this session has no Task tools, skip TaskCreate and put the task description block in the spawn prompt instead. It carries only questions and scope, so the information barrier holds.

Read the full file on GitHub · 272 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. yesterday First seen · 272 lines · 43 tokens per session scan A 5cfb6eb476ce

Subscribe to this mod's changes

research is a skill published in the GitHub repository xobotyi/cc-foundry (20 stars, last pushed 2d ago), licensed MIT. It adds 43 tokens to every session and 2,779 once invoked, about $0.0002 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 2026-09-04.

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