pr-discovery

pr-discovery is an agent for coding agents from tsaol/awesome-claude. It costs 41 tokens per session (1,283 once invoked), scanned A, original, no licence file.

A product-discovery analysis based on a snapshot of a project, describing what the product is, who it serves, and the problem it addresses.

In plain words
What is it for?
Use it to create user personas, explain the product’s value, and assess its development stage.
Why use it?
It helps turn an unfamiliar codebase into a clearer product description and audience definition.

Agent

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 agents/tsaol/awesome-claude/pr-discovery
Clone the repo
git clone --depth 1 https://github.com/tsaol/awesome-claude

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 pr-discovery

README.md
[![agentmods](https://agentmods.dev/badge/agents/tsaol/awesome-claude/pr-discovery.svg)](https://agentmods.dev/agents/tsaol/awesome-claude/pr-discovery)
Your own site
<a href="https://agentmods.dev/agents/tsaol/awesome-claude/pr-discovery"><img src="https://agentmods.dev/badge/agents/tsaol/awesome-claude/pr-discovery.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,283 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00041 $0.01283
Opus 5 $0.00020 $0.00642
Sonnet 5 $0.00008 $0.00257
Haiku 4.5 $0.00004 $0.00128

Measured 6d ago against content hash 626ea8cb1734, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

pr-discovery 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 6d 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.

skills/product-review/agents/pr-discovery.md · 168 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 6d ago First seen · 168 lines · 41 tokens per session scan A 626ea8cb1734

Subscribe to this mod's changes

pr-discovery is an agent published in the GitHub repository tsaol/awesome-claude (67 stars, last pushed 16d ago), with no licence file. It adds 41 tokens to every session and 1,283 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 2026-08-30.