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/tracegit 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 | $0.00388 |
| Opus 5 | $0.00000 | $0.00194 |
| Sonnet 5 | $0.00000 | $0.00078 |
| Haiku 4.5 | $0.00000 | $0.00039 |
Grade A, and why
trace 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 3d 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
Trace the execution path of a request or operation through the codebase.
Steps
- Identify the starting point: HTTP request handler, event listener, CLI command, or function call.
- Follow the execution path step by step:
- Map each function call from entry to exit.
- Note middleware, interceptors, or decorators in the chain.
- Track data transformations at each step.
- Identify async boundaries (awaits, callbacks, event emissions).
- For each step in the trace, document:
- File and function name.
- Input parameters and their values/types.
- Side effects (database queries, API calls, file writes).
- Return value or thrown error.
- Identify potential failure points:
- Unhandled errors or missing try/catch blocks.
- Implicit type conversions or coercions.
- Missing validation at boundaries.
- Generate a sequence diagram of the execution flow.
- Highlight any performance bottlenecks (blocking I/O, N+1 queries).
Format
Trace: <operation name>
1. [entry.ts:handleRequest] <- HTTP POST /api/users
2. [middleware/auth.ts:verify] <- checks JWT token
3. [services/user.ts:create] <- validates input, calls DB
4. [db/queries.ts:insert] <- INSERT INTO users ...
5. [services/user.ts:create] -> returns { id, email }
6. [entry.ts:handleRequest] -> 201 Created
Side effects: 1 DB write, 1 email sent
Potential issues: No transaction wrapping steps 4-5
Rules
- Follow the actual code path, not assumptions about what it should do.
- Include error handling paths, not just the happy path.
- Note where logging exists and where it is missing.
- Flag any implicit dependencies or global state access.
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.
- 3d ago First seen · 45 lines · 0 tokens per session scan A b56033bfaded
trace 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 388 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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