bd-radar

bd-radar is a skill for Claude Code, Codex from aeonfun/aeon. It costs 38 tokens per session (3,030 once invoked), scanned A, original, MIT.

A business-development monitoring skill that finds people and projects using, extending, discussing, or integrating a product across GitHub, X, Hacker News, and Reddit.

In plain words
What is it for?
Use it to find active builders, forks, integrations, questions, mentions, and other signs of product interest. It turns those findings into named leads for outreach during the current week.
Why use it?
Relevant leads are often scattered across different websites and easy to notice too late. It gathers those signals into a ranked list with a suggested next action.

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/aeonfun/aeon/bd-radar
Any agent
npx skills add aeonfun/aeon --skill bd-radar
Clone the repo
git clone --depth 1 https://github.com/aeonfun/aeon

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 bd-radar

README.md
[![agentmods](https://agentmods.dev/badge/skills/aeonfun/aeon/bd-radar.svg)](https://agentmods.dev/skills/aeonfun/aeon/bd-radar)
Your own site
<a href="https://agentmods.dev/skills/aeonfun/aeon/bd-radar"><img src="https://agentmods.dev/badge/skills/aeonfun/aeon/bd-radar.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,030 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00038 $0.03030
Opus 5 $0.00019 $0.01515
Sonnet 5 $0.00008 $0.00606
Haiku 4.5 $0.00004 $0.00303

Measured 4d ago against content hash 7cfcdc670fce, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

bd-radar 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 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.

Makes network callslowCapability

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

GitHub: forks/issues of your repos are fetched **in-run** via `./secretcurl` against `api.github.com` with the read-only `GH_READ_PAT` (the `{GH_READ_PAT}` placeholder keeps the secret off the command line), which reads
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • bd-radar — 100% identical, 0 lines differ
skills/bd-radar/SKILL.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

${var} — Optional. dry-run skips notify (state + leads still update). Empty = normal run.

Today is ${today}. Read STRATEGY.md and memory/MEMORY.md. Read memory/products.md for your repos, handles, and search terms. If soul/SOUL.md + soul/STYLE.md are populated, write in the operator's voice; otherwise neutral.

Why this exists

The north-star is builders shipping on your products. BD signal — a fork that actually runs, a repo that ships an extension on top of you, someone asking "can I integrate", a project quote-tweeting one of your handles — arrives scattered across GitHub, X, HN and Reddit, and usually reaches the operator weeks late, through the timeline, after the moment to engage has passed. bd-radar is the standing sweep that catches each inbound the day it appears and turns it into a named lead with a suggested next move — so you reach out while it's warm. This is "chase users, investors follow" wired into cron.

Config — memory/products.md

Shared config (see product-pulse for the full format). bd-radar uses, per product: the repos (to find forks/issues), the handles (to find mentions/quote-tweets), and the terms (the product-name / tagline strings to search GitHub, X, HN, Reddit). If memory/products.md is missing or empty, log BD_RADAR_NO_PRODUCTS_CONFIG and fall back to memory/watched-repos.md for repos + STRATEGY.md for the wedge; X/term search is skipped with no config.

What counts as a BD lead (signal taxonomy)

Ranked strongest → weakest. Tag each lead with its class:

Class Signal Why it matters
building New ecosystem repo / extension that runs on or builds on one of your products Already shipped — highest intent, partner candidate
forking New fork of one of your repos with its own commits (not a drive-by star) Active builder — likely to ship next
integrating Issue/PR/discussion asking to integrate, or a repo importing your API/SDK Explicit ask — fastest to convert
mentioning A project/builder account (not a random) posting about your products on X/HN/Reddit Warm — worth a reply or DM
adjacent A team in your wedge (the space your products occupy — see STRATEGY.md / the surface lines in products.md) doing relevant work Outbound candidate — you reach out

Read the full file on GitHub · 124 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. 4d ago First seen · 124 lines · 38 tokens per session scan A 7cfcdc670fce

Subscribe to this mod's changes

bd-radar is a skill published in the GitHub repository aeonfun/aeon (714 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 3,030 once invoked, about $0.0002 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 2026-08-30.

Related

Other skills, from other repositories

tmux

Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.

HKUDS/nanobot · 22 tokens

summarize

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

HKUDS/nanobot · 32 tokens

foundry-config-setup

Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.

microsoft/agent-framework · 65 tokens

complete-partial-pr

Evaluate and complete an issue or PR where the submitted patch fixes only a narrow symptom of the reported pain point. Use when a contribution may miss adjacent integration surfaces, provider/spec semantics, roundtrip behavior, tests, docs, or historical maintainer decisions.

pydantic/pydantic-ai · 55 tokens

hive.chart-creation-foundations

Required reading whenever any chart tool is available. Teaches the one-tool embedding contract (call chartrender → live chart appears in chat AND a downloadable PNG lands in the queen session dir), the ECharts (data viz) vs Mermaid (structural diagrams) decision, the BI/financial-grade aesthetic baseline (no…

aden-hive/hive · 133 tokens

browser-edge-cases

SOP for debugging browser automation failures on complex websites. Use when browser tools fail on specific sites like LinkedIn, Twitter/X, SPAs, or sites with Shadow DOM.

aden-hive/hive · 40 tokens