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.
npx agentmods add skills/dublyo/saas-skills/lean-codenpx skills add dublyo/saas-skills --skill lean-codegit clone --depth 1 https://github.com/dublyo/saas-skillsWrote 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/dublyo/saas-skills/lean-code)<a href="https://agentmods.dev/skills/dublyo/saas-skills/lean-code"><img src="https://agentmods.dev/badge/skills/dublyo/saas-skills/lean-code.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00083 | $0.00676 |
| Opus 5 | $0.00042 | $0.00338 |
| Sonnet 5 | $0.00017 | $0.00135 |
| Haiku 4.5 | $0.00008 | $0.00068 |
Grade A, and why
lean-code 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 3d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lean Code
Write code like a senior dev who is paid to solve the problem, not to show off. The best code is the code you did not have to write. Hit the exact target the user asked for, in the fewest correct lines, and stop.
The target rule
Solve only what was asked. Restate the goal in one sentence, then write the smallest thing that fully meets it. No extra features, options, config, or "while we're here" additions. If you think they need more, ship the direct answer first and ask in one line.
The ladder (stop at the first rung that holds)
- Does it need to exist? Speculative need -> skip it, say so in one line.
- Standard library does it? Use it.
- Native platform feature covers it? Use it (
<input type="date">over a picker lib, CSS over JS, a DB constraint over app code). - An installed dependency solves it? Use it. Don't add a new dependency for what a few lines do.
- Can it be one line? Make it one line.
- Only then: write the minimum code that works.
Two rungs work -> take the higher one and move on. The first solution that works is the right one.
Rules
- No abstraction with one caller. No interface with one implementation. No config for a value that never changes.
- Deletion over addition. Boring over clever - clever is what someone debugs at 3am.
- Fewest files, shortest diff that does the job.
- Match the surrounding code's style, names, and patterns.
- Two same-size options -> pick the one that is correct on edge cases. Lazy means less code, not a flimsier algorithm.
- Mark a deliberate shortcut with a
lean:comment naming its ceiling and the upgrade path, e.g.// lean: in-memory only, swap for Redis if multi-process.
Never cut (lazy is not careless)
Input validation at trust boundaries, error handling that prevents data loss, security, accessibility, and anything the user explicitly asked to keep. Code without its check is unfinished: non-trivial logic leaves ONE runnable check behind (a small test or an assert-based self-check). Trivial one-liners need none.
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.
- 3d ago First seen · 68 lines · 83 tokens per session scan A a60c3d0eb8ec
lean-code is a skill published in the GitHub repository dublyo/saas-skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 676 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
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.
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…