feature-discovery

A guide for turning a rough software feature idea into a clarified brief. It helps resolve open questions and define requirements before a product requirements document is written.

In plain words
What is it for?
Use it when discussing a new feature idea, such as something you want to build, add, or try, before writing a PRD.
Why use it?
It addresses unclear feature requests before implementation starts. This helps establish what should be built and resolve missing decisions early.

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/stblake/mathilda/feature-discovery
Any agent
npx skills add stblake/mathilda --skill feature-discovery
Clone the repo
git clone --depth 1 https://github.com/stblake/mathilda

Made for: Claude Code, Codex.

Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 563 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 $0.00066 $0.00563
Opus 5 $0.00033 $0.00282
Sonnet 5 $0.00013 $0.00113
Haiku 4.5 $0.00007 $0.00056

Measured 2d ago against content hash c496f4da7a9a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

feature-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 2d 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.

.claude/skills/feature-discovery/SKILL.md · 71 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

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. 2d ago First seen · 71 lines · 66 tokens per session scan A c496f4da7a9a

Subscribe to this mod's changes

feature-discovery is a skill published in the GitHub repository stblake/mathilda (11 stars, last pushed 3d ago), licensed GPL-3.0. It adds 66 tokens to every session and 563 once invoked, about $0.0003 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.

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