Awesome Claude Code Toolkit is a curated collection of extensions and configuration for Claude Code, including agents, skills, commands, plugins, hooks, rules, templates, MCP configurations, and companion apps. It is for Claude Code users who want ready-made workflows and integrations for different development tasks. The catalogue add-ons are selected components from this toolkit.
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/rohitg00/awesome-claude-code-toolkitWrote 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/commands/rohitg00/awesome-claude-code-toolkit/annotate)<a href="https://agentmods.dev/commands/rohitg00/awesome-claude-code-toolkit/annotate"><img src="https://agentmods.dev/badge/commands/rohitg00/awesome-claude-code-toolkit/annotate/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/commands/rohitg00/awesome-claude-code-toolkit/annotate"><img src="https://agentmods.dev/badge/commands/rohitg00/awesome-claude-code-toolkit/annotate.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.00392 |
| Opus 5.5 | $0.00000 | $0.00157 |
| Sonnet 5.5 | $0.00000 | $0.00078 |
| Haiku 4.5 | $0.00000 | $0.00039 |
Grade A, and why
annotate 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
Add inline documentation (JSDoc, docstrings, comments) to under-documented code.
Steps
- Read the target file and assess current documentation level.
- Identify what needs documentation:
- Public functions and methods lacking doc comments.
- Complex logic blocks without explanatory comments.
- Non-obvious parameter types or return values.
- Module-level overview missing.
- Generate documentation in the appropriate format:
- TypeScript/JavaScript: JSDoc with
@param,@returns,@throws,@example. - Python: Google-style or NumPy-style docstrings.
- Go: Godoc comments above exported functions.
- Rust:
///doc comments with examples.
- TypeScript/JavaScript: JSDoc with
- For each function, document:
- What it does (one-sentence summary).
- Parameters with types and descriptions.
- Return value description.
- Thrown exceptions or error conditions.
- Usage example for complex functions.
- Add a module-level doc comment explaining the file's purpose.
- Verify the documentation does not break the build or linter.
Format
/**
* Creates a new user account with the given credentials.
*
* @param email - The user's email address (must be unique)
* @param password - Plain text password (will be hashed)
* @returns The created user object with generated ID
* @throws {ConflictError} If a user with this email already exists
* @example
* const user = await createUser("[email protected]", "securePass123");
*/
Rules
- Document intent and contracts, not implementation details.
- Every public function must have at minimum a summary and parameter descriptions.
- Do not add comments that merely restate the code.
- Use the project's existing documentation style if one is established.
- Include
@examplefor functions with non-obvious usage patterns.
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 · 47 lines · 0 tokens per session scan A 7e74e318ef7e
annotate is a command published in the GitHub repository rohitg00/awesome-claude-code-toolkit (2,713 stars, last pushed 5mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 392 tokens. 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 2026-08-30.
Other commands, from other repositories
cc-refactor
(Conductor) Refactor a file or module for clarity and simplicity.
create-prompt
Create a new prompt that another Claude can execute.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.