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 commands/rohitg00/awesome-claude-code-toolkit/annotategit clone --depth 1 https://github.com/rohitg00/awesome-claude-code-toolkitWhat 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 | $0.00000 | $0.00392 |
| Opus 5 | $0.00000 | $0.00196 |
| Sonnet 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 2d 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.
- 2d 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 (2,578 stars, last pushed 3mo 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.
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