Evan-Daruwalla

Claude Skill Suite

Name: Claude Skill Suite
Author: Evan-Daruwalla

Security community

SOURCE https://github.com/Evan-Daruwalla/claude-skill-suite

Description

Claude Code skills for running models cost-effectively: security gates (secret scanner, commit-gate), model-quality tooling (eval harness, token-squeeze, compact-io, opus-workers), review/advisory (trusted-advisor, audit, skill-vet, research-brief), and a read-only reorg-proposal advisor.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

claude-skill-suite

A suite of [Claude Code](https://claude.com/claude-code) skills built to keep a **cheaper model** doing high-quality engineering work. Some are deterministic Node tools — the model just runs them, so quality doesn't degrade with the model; others are prose skills that shape how the model reviews, advises, and writes. The governing rule for the security ones: **skill the judgment, hook the gates** — a risk that must never slip through (a committed secret) belongs in a deterministic hook that fires regardless of which model is running, not in a skill the model has to remember to invoke.

Memory / documentation-system skills live in the sibling repo **[claude-project-memory](https://github.com/Evan-Daruwalla/claude-project-memory)**. Together these two repos hold the generalized skill set.

Security gates — deterministic, hook-backed

Skill	What it does
history-leak-scan	Scans a repo's full git history (or the staged diff) for leaked credentials — per-provider keys (AWS, GitHub, Slack, Google, Stripe, Alpaca), private-key blocks, JWTs, high-entropy assignments, weak passwords. Token-level placeholder suppression so it doesn't cry wolf. Ships a `--canary` self-test.
commit-gate	Blocks any commit that stages a secret, two ways: a native git `pre-commit` hook (shell commits) and a `PreToolUse` hook (commits the model makes via Bash) — because a PreToolUse hook alone misses shell commits. Both share the scanner and fail open on error.

Model quality & output

Skill	What it does
llm-eval-harness	Measures how far a cheaper model falls from your flagship model's quality bar, deterministically: `checks` (format / no-fabrication / surgical-scope assertions — no golden needed) and `golden` (word-level similarity to a captured flagship reference). Appends every run to a ratchet so the gap is a tracked series. No LLM-judge — a non-reproducible judge would be invented data.
**token