Tlc Spec DrivenSAFE
The secure, validated skill registry for professional AI coding agents. Extend Antigravity, Claude Code, Cursor, Copilot and more with absolute confidence.
Overview
The secure, validated skill registry for professional AI coding agents. Extend Antigravity, Claude Code, Cursor, Copilot and more with absolute confidence.
069343ba7895OBSERVED · 2026-10-07What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: tlc-spec-driven description: Feature planning and implementation with 4 adaptive phases (Specify, Design, Tasks, Execute). Auto-sizes depth by complexity. Writes testable requirements in EARS notation, atomic tasks, atomic Conventional Commits, and requirement traceability. Ships deterministic Python validation scripts so structural gates are enforced by code, not memory. Features an independent Verifier (author != verifier, evidence-or-zero), a discrimination sensor, a decision log (STATE.md), a test-coverage matrix, and a self-improving lessons layer. Stack-agnostic and tool-agnostic. Use when (1) planning features, (2) implementing with verification and atomic commits, (3) validating an implementation against a spec. Triggers on "specify feature", "discuss feature", "design", "tasks", "implement", "validate", "verify work", "UAT", "record decision", "pause work", "resume work". Do NOT use for pure architecture decomposition analysis or standalone technical design documents. license: CC-BY-4.0 metadata: author: Felipe Rodrigues - github.com/felipfr version: 3.3.0 --- # Tech Lead's Club - Spec-Driven Development Plan and implement features with precision. Granular tasks. Clear dependencies. Right tools. Zero ceremony. ``` ┌──────────┐ ┌──────────┐ ┌─────────┐ ┌─────────┐ │ SPECIFY │ → │ DESIGN │ → │ TASKS │ → │ EXECUTE │ └──────────┘ └──────────┘ └─────────┘ └─────────┘ required optional* optional* required * Agent auto-skips when scope doesn't need it ``` ## Critical Rules (read before acting) **Loading this skill's files.** Reference files live under `references/` in this skill's own directory (where this `SKILL.md` resides). Resolve them relative to the skill directory - never the workspace root - and load them through the active skill by name; never assume a fixed install path. When a step tells you to read a reference, **read it completely (to EOF)** before acting - never act on a partial/truncated read. **Running this skill's scripts.** Every `scripts/*.py` shipped with this skill lives under that same skill directory. Resolve the skill directory first, then invoke `python3 <skill-dir>/scripts/<name>.py ...`. Never run `python3 scripts/...` from the consuming project root - that looks for a project-local `scripts/` tree that is not this skill. Project data under `.specs/` is still read/written relative to the project root (pass `--root` when the cwd is elsewhere). Below, `<skill-dir>` means the directory that contains this `SKILL.md`. **Execution contract - every task, non-negotiable (holds even if you do not open the reference files):** 1. Tests derive from the spec's acceptance criteria and assert spec-defined outcomes - they never mirror the implementation. 2. The gate must pass (tests pass) before a task is done - the test runner decides, not self-assessment. 3. One atomic commit per task. Mark the task complete in `tasks.md` (and update spec traceability when used) **before** that commit, and include those updates in the same commit. Never batch tasks; never weaken, skip, or delete tests to make them pass. 4. After the LAST task, a fresh **Verifier always runs automatically** (author ≠ verifier) - spec-anchored outcome check + discrimination sensor. It is never optional and never prompted. See Sub-Agent Delegation. 5. **Blast radius:** approving a spec or tasks authorizes local implementation and local commits only. `git push`, force-push, deploy, production DB changes, and other remote / externally visible / destructive operations require an explicit go-ahead for that action. **Deterministic gates run before human review - not from memory.** The structural gates for the spec and tasks are enforced by scripts in this skill's `scripts/` directory, so they cannot silently drift when the model forgets a step: - Before confirming a spec: `python3 <skill-dir>/scripts/validate_spec.py <spec-path-or-feature>` (closure gate: EARS-shaped ACs, filled assumptions, well-formed requirement IDs, required sections). - Before presenting tasks for approval: `python3 <skill-dir>/scripts/validate_tasks.py <tasks-path-or-feature>` (granularity smell, diagram-vs-`Depends on` parity within a phase, no forward-phase dependency, every task carries `Tests` + `Gate`). - On each commit: `python3 <skill-dir>/scripts/check_commit.py --message "<msg>"` (Conventional Commits). Optionally wire it as a git `commit-msg` guard (git only, no agent dependency) - see [implement.md](references/implement.md). - Before declaring a feature done: `python3 <skill-dir>/scripts/validate_state.py <feature>` (completion gate: the Verifier's `validation.md` exists, its verdict is filled to PASS, and it cites `file:line` evidence - a missing, FAIL, placeholder, or evidence-free report fails). The closing step of Execute runs this automatically, the same way the lessons layer runs at distillation; it is not a manual step. A non-zero exit means STOP and fix before proceeding. Skip a script only when no code-execution tool is available; then perform the same checks by reading the artifact. **Before Execute:** read [implement.md](references/implement.md) completely and run `<skill-dir>/scripts/validate_tasks.py`; if a formal `tasks.md` packs into more than one task-budgeted batch (> ~8 tasks), present the sub-agent offer first (see Sub-Agent Delegation). ## Auto-Sizing: The Core Principle **The complexity determines the depth, not a fixed pipeline.** Before starting any feature, assess its scope and apply only what's needed: | Scope | What | Specify | Design | Tasks | Execute | | ----------- | ------------------------ | ------------------------------------------------------- | ----------------------------------------------- | ----------------------------- | ---------------------------
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (1)
CLAUDE.md
Gates applied: no_behavioural_pass.
069343ba7895full audit observations/trust-audit/skill/tech-leads-club__tlc-spec-driven.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | 069343ba7895 | SAFE | B | 89 | first audit |
Questions
What does the Tlc Spec Driven skill do?
The secure, validated skill registry for professional AI coding agents. Extend Antigravity, Claude Code, Cursor, Copilot and more with absolute confidence.
Is Tlc Spec Driven safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Tlc Spec Driven access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (069343ba7895), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.