workflow-project-discovery

workflow-project-discovery is a skill for Claude Code from saemihemma/lead-producer-oss. It costs 33 tokens per session (512 once invoked), scanned A, original, MIT.

A workflow for inspecting an inherited or unclear codebase and mapping what is known, unknown, and worth investigating next. It looks at the repository structure, tools, tests, documentation, and delivery setup.

In plain words
What is it for?
Starting work on a large, inherited, or poorly documented repository and choosing a focused first investigation.
Why use it?
It prevents developers from making assumptions about a project they do not yet understand.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Starting work on a large, inherited, or poorly documented repository and choosing a focused first investigation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/saemihemma/lead-producer-oss/workflow-project-discovery
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.

Any agent
npx skills add saemihemma/lead-producer-oss --skill workflow-project-discovery
Clone the repo
git clone --depth 1 https://github.com/saemihemma/lead-producer-oss

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 workflow-project-discovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/saemihemma/lead-producer-oss/workflow-project-discovery/github.svg)](https://agentmods.dev/skills/saemihemma/lead-producer-oss/workflow-project-discovery)
Your own site
<a href="https://agentmods.dev/skills/saemihemma/lead-producer-oss/workflow-project-discovery"><img src="https://agentmods.dev/badge/skills/saemihemma/lead-producer-oss/workflow-project-discovery/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 workflow-project-discovery

Your own site · 80×15
<a href="https://agentmods.dev/skills/saemihemma/lead-producer-oss/workflow-project-discovery"><img src="https://agentmods.dev/badge/skills/saemihemma/lead-producer-oss/workflow-project-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 512 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00033 $0.00512
Opus 5 $0.00016 $0.00256
Sonnet 5 $0.00007 $0.00102
Haiku 4.5 $0.00003 $0.00051

Measured 8d ago against content hash 90cc701ab021, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

workflow-project-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 8d 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/workflow-project-discovery/SKILL.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project Discovery Workflow

Purpose

Create shared situational awareness before design, implementation, or review work goes wide. Turn a vague or inherited project into a short list of concrete next plays.

Use When

  • Repo is inherited, large, or poorly mapped
  • User asks for discovery, an R&D pass, or "understand this project first"
  • Broad unknowns make direct implementation or review premature
  • Major systems, docs, tests, or ownership boundaries are unclear

Do NOT Use When

  • Immediate bug investigation is the real task (use workflow-systematic-debugging)
  • Architecture decision is already tightly scoped (use team-architecture-review)
  • One bounded system needs current-reality orientation more than repo-wide mapping (use workflow-current-state-capture)
  • User already has a narrow implementation slice ready to execute

Workflow

  1. Inspect repo shape: package manifests, framework configs, entry points, directory structure, test infrastructure, CI/CD setup, and active documentation.
  2. Identify the top unknowns blocking confident execution.
  3. Separate missing facts from preference or strategy questions.
  4. Offer 2-3 timeboxed next plays sized to the uncertainty:
    • quick audit
    • focused architecture or subsystem spike
    • broader R&D or discovery pass
  5. Recommend the smallest play that meaningfully reduces risk.

Default Output

PROJECT DISCOVERY REPORT
========================
Current State: repo shape, major systems, artifact maturity, useful existing signals
Top Unknowns: highest-risk things not yet understood
Options: 2-3 timeboxed plays with what each would clarify
Recommendation: smallest next play worth doing now
Next Step: what to inspect next, what decision to make, or recommended next LP route

Output Discipline

  • Default to in-chat output only.
  • Do not create durable files unless the user explicitly asks.
  • Keep options timeboxed and decision-oriented, not open-ended research wishlists.

Anti-Drift Rules

  • Discovery is for reducing uncertainty, not backdoor architecture work.
  • Name what already exists before proposing more process.
  • Recommend the smallest play that changes the next decision.
  • Do not auto-chain into follow-on workflows.
  • If a follow-on skill is warranted, recommend it back to LP instead of routing directly.

Read the full file on GitHub · 54 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. 8d ago First seen · 54 lines · 33 tokens per session scan A 90cc701ab021

Subscribe to this mod's changes

workflow-project-discovery is a skill published in the GitHub repository saemihemma/lead-producer-oss (2 stars, last pushed 8d ago), licensed MIT. It adds 33 tokens to every session and 512 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 2026-09-03.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens