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/juliusbrussee/caveman-code/cavekit-validation-firstnpx skills add JuliusBrussee/caveman-code --skill cavekit-validation-firstgit clone --depth 1 https://github.com/JuliusBrussee/caveman-codeWrote 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/juliusbrussee/caveman-code/cavekit-validation-first)<a href="https://agentmods.dev/skills/juliusbrussee/caveman-code/cavekit-validation-first"><img src="https://agentmods.dev/badge/skills/juliusbrussee/caveman-code/cavekit-validation-first.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 | $0.00064 | $0.03794 |
| Opus 5 | $0.00032 | $0.01897 |
| Sonnet 5 | $0.00013 | $0.00759 |
| Haiku 4.5 | $0.00006 | $0.00379 |
Grade A, and why
cavekit-validation-first scanned grade A with 1 finding 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -f http://localhost:{PORT}/health How it starts
The opening of the file, as written. The whole thing — 452 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Validation-First Design
Core Principle: If an Agent Cannot Validate It, It Will Not Be Met
Every spec requirement must include testable acceptance criteria that an agent can automatically verify. This is not optional — it is the foundation that makes SDD work.
Why? AI agents are non-deterministic. Without automated validation, there is no way to know whether an agent's output is correct. Validation gates turn "the agent generated some code" into "the agent generated code that provably meets the specification."
The validation-first rule applies at every level:
- Spec requirements must have testable acceptance criteria
- Plans must define which gates verify each task
- Implementation must pass all applicable gates before being considered complete
- Iterations must show measurable progress through gates
The Validation Gate Sequence
Every implementation must pass through six ordered checkpoints. Each successive gate is more expensive to run, so catching failures early saves significant time.
Gate 1: Compilation Check
What: The project compiles/transpiles without errors.
# Generic pattern — substitute your project's build command
{BUILD_COMMAND}
Why it matters: If the code does not build, nothing else can be validated. This is the cheapest possible check.
What it catches:
- Syntax errors
- Missing imports/dependencies
- Type errors (in typed languages)
- Configuration errors
Acceptance criteria pattern:
- [ ] `{BUILD_COMMAND}` completes with exit code 0
- [ ] No warnings related to {domain} (warnings in other domains are acceptable)
Gate 2: Isolated Unit Verification
What: Unit tests pass on all changed files.
# Generic pattern
{TEST_COMMAND}
# Or targeted at changed files
{TEST_COMMAND} --filter {changed-files}
Why it matters: Unit tests verify individual functions and modules in isolation. They are fast, deterministic, and catch logic errors.
What it catches:
- Incorrect function behavior
- Edge cases not handled
- Regression from changes to existing code
- Contract violations (wrong return types, missing fields)
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.
- 5d ago First seen · 452 lines · 64 tokens per session scan A 807cf6d42afc
cavekit-validation-first is a skill published in the GitHub repository JuliusBrussee/caveman-code (930 stars, last pushed 20d ago), licensed MIT. It adds 64 tokens to every session and 3,794 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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…