repo-recon

repo-recon is a command for Claude Code from thangnguyenworkspace/company-research-pipeline. It costs 15 tokens per session (703 once invoked), scanned A, original, MIT.

A code-research command for examining a company’s public GitHub organization or repository. It starts with a broad inventory, then summarizes selected code in more depth.

In plain words
What is it for?
Use it to list repositories, review their dates and activity, summarize a README, outline a repository’s files, and choose promising areas for further investigation.
Why use it?
It helps check what a company is actually building and maintaining, instead of relying only on marketing claims. It also helps focus deeper research on the most relevant files.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it to list repositories, review their dates and activity, summarize a README, outline a repository’s files, and choose promising areas for further investigation.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/thangnguyenworkspace/company-research-pipeline/repo-recon
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.

Clone the repo
git clone --depth 1 https://github.com/thangnguyenworkspace/company-research-pipeline

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 repo-recon

README.md
[![agentmods](https://agentmods.dev/badge/commands/thangnguyenworkspace/company-research-pipeline/repo-recon/github.svg)](https://agentmods.dev/commands/thangnguyenworkspace/company-research-pipeline/repo-recon)
Your own site
<a href="https://agentmods.dev/commands/thangnguyenworkspace/company-research-pipeline/repo-recon"><img src="https://agentmods.dev/badge/commands/thangnguyenworkspace/company-research-pipeline/repo-recon/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 repo-recon

Your own site · 80×15
<a href="https://agentmods.dev/commands/thangnguyenworkspace/company-research-pipeline/repo-recon"><img src="https://agentmods.dev/badge/commands/thangnguyenworkspace/company-research-pipeline/repo-recon.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 703 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 $0.00015 $0.00703
Opus 5 $0.00008 $0.00351
Sonnet 5 $0.00003 $0.00141
Haiku 4.5 $0.00002 $0.00070

Measured 12d ago against content hash 751d7e5f3102, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

repo-recon 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 12d 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.

Use free direct fetches (`curl`) against the GitHub REST API; no search product needed:
.claude/commands/repo-recon.md · 37 lines

How it starts

The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repo Recon

Explore the GitHub target in $ARGUMENTS to establish what a company's public code actually shows: what is real, what is active, what is a shell. If no target was given, ask.

The engineering surface is one of the highest-signal, lowest-cost verification sources in company research: it is primary, it is dated, and it cannot be retro-edited the way a marketing page can.

Step 1: Scan (breadth before depth)

Use free direct fetches (curl) against the GitHub REST API; no search product needed:

  1. Org level (when the target is an owner): GET /orgs/{owner}/repos (or /users/{owner}/repos). Capture per repo: name, description, language, created/pushed dates, stars, forks, archived flag.
  2. Repo level: GET /repos/{owner}/{repo} for metadata, then the README via raw.githubusercontent.com/{owner}/{repo}/{default_branch}/README.md, then the file tree via the contents or git-trees API.
  3. Build the scan report: a repo inventory table plus, for the focal repo, the README summary and tree outline, ending with 3 to 6 drill candidates (the files or questions most worth a deep look).

Present the scan and pause: let the user pick drill targets before spending depth.

Step 2: Dive (rounds, on request)

Per drill round: fetch the chosen files (raw fetches; /exa-crawl for rendered pages like release notes or hosted docs), and answer the round's question concretely.

High-signal checks for company research, from practice:

  • Activity reality: last-push dates across the org. One actively committed repo surrounded by frozen forks tells you where the real work is (usually a private monorepo).
  • Fork depth: for a repo forked from an upstream, GET /repos/{owner}/{repo}/compare/{upstream-default}...{default} shows ahead/behind counts. Check a rebase or integration branch too; a big behind-count on the default branch often just means upstream velocity, not dormancy. The ahead-commits are the company's actual contribution; read their themes.
  • Shipped vs marketed: does the "get started" repo linked from marketing actually contain code? Does the SDK's repository field resolve (a 404 means closed source behind a public npm package)?
  • External traction: stars, forks, and who imports the packages. Registry download curves that spike on release dates and collapse between them indicate internal CI, not adoption.
  • Cross-check the package registry directly (registry.npmjs.org/{package} JSON): versions, publish cadence, maintainers. Live registry beats any cached search result.

Read the full file on GitHub · 37 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. 12d ago First seen · 37 lines · 15 tokens per session scan A 751d7e5f3102

Subscribe to this mod's changes

repo-recon is a command published in the GitHub repository thangnguyenworkspace/company-research-pipeline (2 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 703 once invoked, about $0.0001 per session on Opus 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 2026-08-31.