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.
git clone --depth 1 https://github.com/bacchus-labs/wranglerWrote 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/plugins/bacchus-labs/wrangler/wrangler)<a href="https://agentmods.dev/plugins/bacchus-labs/wrangler/wrangler"><img src="https://agentmods.dev/badge/plugins/bacchus-labs/wrangler/wrangler/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/plugins/bacchus-labs/wrangler/wrangler"><img src="https://agentmods.dev/badge/plugins/bacchus-labs/wrangler/wrangler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
wrangler 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 1mo 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.
What it actually says
{
"name": "wrangler",
"description": "Core skills library for Claude Code: TDD, debugging, testing gates, subagent parallelization, etc.",
"version": "1.2.0",
"author": {
"name": "Sam",
"email": ""
},
"homepage": "https://irregularexpressions.com",
"repository": "https://github.com/samjhecht/wrangler",
"mcpServers": {
"wrangler-mcp": {
"command": "node",
"args": ["${CLAUDE_PLUGIN_ROOT}/mcp/dist/bundle.cjs"],
"env": {
"WRANGLER_MCP_DEBUG": "false",
"WRANGLER_ISSUES_DIRECTORY": ".wrangler/issues",
"WRANGLER_SPECIFICATIONS_DIRECTORY": ".wrangler/specifications"
}
}
}
}
What it installs
The manifest is a name and a version. 25 skills, 16 commands, 13 agents travel with it, and installing the plugin installs all of them — 2,100 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill design-system-governance A 35 tokens
- Skill figma-design-workflow A 22 tokens
- Skill design-system-setup A 22 tokens
- Skill figma-variables-generator A 97 tokens
- Skill wrangler:startup-checklist A 24 tokens
- Skill crazy-8s A 107 tokens
- Skill debugging-systematically A 44 tokens
- Skill dependency-opportunity-scanner A 45 tokens
- Skill implement-spec A 22 tokens
- Skill ai-ds-composer A 70 tokens
- Skill avoiding-testing-anti-patterns A 46 tokens
- Skill codebase-index A 93 tokens
- Skill accessibility-verification A 39 tokens
- Skill brainstorming A 40 tokens
- Skill condition-based-waiting A 48 tokens
- Skill finding-code-patterns A 38 tokens
- Skill isolating-worktrees A 35 tokens
- Skill problem-mapping A 90 tokens
- Skill analyzing-implementations A 38 tokens
- Skill finishing-a-development-branch A 61 tokens
- Skill reviewing-implementation-progress A 31 tokens
- Skill youtube-transcript B 48 tokens
- Skill defense-in-depth A 35 tokens
- Skill designing-frontends A 34 tokens
- Skill ai-component-metadata A 51 tokens
- Command analyze-session-gaps A 10 tokens
- Command validate-session-adherence A 34 tokens
- Command audit-session A 20 tokens
- Command validate-claude-tools A 23 tokens
- Command help A 8 tokens
- Command update-yourself A 0 tokens
- Command init-workspace A 12 tokens
- Command generate-plan-for-spec A 11 tokens
- Command issues A 8 tokens
- Command setup-git-hooks A 0 tokens
- Command commit-push-pr A 12 tokens
- Command idea A 13 tokens
- Command wrangler:implement A 26 tokens
- Command scan-dependencies A 14 tokens
- Command run-tests A 9 tokens
- Command setup-design-system A 11 tokens
- Agent micro-manager-agent A 30 tokens
- Agent analyzer A 12 tokens
- Agent verifier A 15 tokens
- Agent fixer A 10 tokens
- Agent implementer A 12 tokens
- Agent publisher A 9 tokens
- Agent reviewer A 16 tokens
- Agent codebase-analyzer A 44 tokens
- Agent codebase-locator A 68 tokens
- Agent codebase-pattern-finder A 76 tokens
- Agent web-search-researcher A 114 tokens
- Agent thoughts-analyzer A 34 tokens
- Agent code-reviewer A 234 tokens
What ships with it
1 file beside plugin.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 23 lines scan A c7ced327c1b5
wrangler is a plugin published in the GitHub repository bacchus-labs/wrangler (4 stars, last pushed 8mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 plugins, from other repositories
superpowers
Core skills library: TDD, debugging, collaboration patterns, and proven techniques.
superpowers-zh
A Chinese-language collection of working methods for AI-assisted programming, including test-driven development, debugging, and code review. Test-driven development, or TDD, means writing tests before the code they check.
aegis
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques.
debugging
Debug observed failures via a disciplined six-phase loop: build a fast deterministic reproduction signal, reproduce, rank falsifiable hypotheses, instrument, fix with a regression test, then clean up and post-mortem.
superpowers-zh
A Chinese-language collection of practical methods for AI-assisted programming, including test-driven development, debugging, and code review. Test-driven development, or TDD, means writing tests before the code they are meant to check.
mattpocock-skills
mattpocock-skills. Skills for Real Engineers. Straight from my .claude directory. (github/mattpocock).