Borrowing it
Nothing to install: this file belongs to TheSmokeDev/taskchad-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TheSmokeDev/taskchad-os/master/.claude/skills/brownfield-day-1/SKILL.mdgit clone --depth 1 https://github.com/TheSmokeDev/taskchad-osWrote 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.
[](https://agentmods.dev/skills/thesmokedev/taskchad-os/brownfield-day-1)<a href="https://agentmods.dev/skills/thesmokedev/taskchad-os/brownfield-day-1"><img src="https://agentmods.dev/badge/skills/thesmokedev/taskchad-os/brownfield-day-1/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.
<a href="https://agentmods.dev/skills/thesmokedev/taskchad-os/brownfield-day-1"><img src="https://agentmods.dev/badge/skills/thesmokedev/taskchad-os/brownfield-day-1.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00121 | $0.02604 |
| Opus 5 | $0.00060 | $0.01302 |
| Sonnet 5 | $0.00024 | $0.00521 |
| Haiku 4.5 | $0.00012 | $0.00260 |
Grade A, and why
brownfield-day-1 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brownfield Day-1 — Derive AI Layer From Scratch
You are executing the Brownfield Day-1 flow on a codebase. Goal: take a codebase with no AI Layer (no CLAUDE.md, no .claude/) and derive a working AI Layer — global rules + a customized command suite — in a single agent invocation.
Template path: $1 (a folder containing reference CLAUDE.md + .claude/commands/ to copy and customize from). If $1 is empty, use the default YourProduct template at .claude/skills/brownfield-day-1/templates/YourProduct/.
What you will do
- Initial Scan — quick read of the codebase shape
- Plan the subagent slicing — decide how many Explorer subagents and what each investigates
- Dispatch Explorer subagents in parallel — N parallel sub-agents, one per slice
- Converge their reports into
tmp/brownfield-day-1/codebase-analysis.md - Dispatch 3 AI Layer Builders in parallel — derive
CLAUDE.md+ the command suite - Report the final state
You orchestrate. The user does not dispatch subagents — you do.
Precondition Check
Before starting, check if CLAUDE.md already exists in the target repo:
- If
CLAUDE.mdexists: STOP. Warn the user that this codebase already has an AI layer. Suggest updating the existing CLAUDE.md and commands directly, or running/vertical-slice-auditto score a specific feature. - If
CLAUDE.mddoes not exist: proceed with the full Day-1 flow below.
Step 0 — Initial Scan (≤3 minutes)
- Read
README.mdif it exists. Capture: what is this product, tech stack at a glance. - Walk the top-level folder structure —
ls -laandtree -L 2(excludenode_modules,dist,build,.git,__pycache__,.venv). - Read root config files — whichever apply:
package.json,pyproject.toml,Cargo.toml,go.mod,Gemfile,composer.json,tsconfig.json, etc. - Glance at 1-2 high-traffic files — the server entry point, main router, or primary CLI entrypoint.
Output (internal — don't write to disk): a 5-bullet sketch of what the codebase is, its layout, and where the interesting parts live.
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.
- 11d ago First seen · 244 lines · 121 tokens per session scan A 278b8b40d743
brownfield-day-1 is a skill published in the GitHub repository TheSmokeDev/taskchad-os (23 stars, last pushed today), licensed MIT. It adds 121 tokens to every session and 2,604 once invoked, about $0.0006 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.
Other skills, from other repositories
graphify
Use when the user invokes /graphify or asks to build, update, or query a knowledge graph from a folder of files (code, docs, papers, notes, images). Triggers: 'map this codebase', 'graph my notes', 'what is connected across these files', 'community detection', 'GraphRAG', incremental graph update, Neo4j/SVG/GraphML…
insights
Use when the user types /weekly or /monthly, asks for a weekly or monthly journal review or retrospective, asks 'how was my week' or 'how was my month', or wants trends, anomalies, or patterns across recent journal entries. Also fires when regenerating an insight report for a past week or month. NOT for writing…
setup-brain
Set up or upgrade an AI-powered Obsidian vault. Interviews you, builds your vault structure (or works with what you already have), creates your CLAUDE.md memory file, installs tools, and gets you journaling — all in one conversation. Also has a repair/upgrade path for existing users.
second-brain-mapping
Use when the user wants to map or remap their second brain, refresh the vault's queryable metadata index, extract structured frontmatter from typed notes (books, meetings, people, journals, goals), fill wikilink gaps, or surface cross-type insights and patterns no single file shows. Triggers: /second-brain-mapping…
sunday-review
Use when the user asks for the weekly meta-review or Sunday wrap-up of their week and vault: says /sunday, /sunday-review, 'let's do the weekly review,' 'Sunday review,' 'review my week,' 'weekly retro,' 'week in review,' 'end-of-week review,' or wants journals, patterns, vault health, and stale decisions reviewed…
coach
Use when the user says /coach (today, week, month, profile, log), asks what to do today for training, asks for a workout, weekly training plan, or longevity plan, wants to log a finished workout or check lift progression (PR, plateau, deload), or a scheduled morning task fires to drop today's workout into the…