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 skills/lis186/sourceatlas/code-flow-tracernpx skills add lis186/SourceAtlas --skill code-flow-tracergit clone --depth 1 https://github.com/lis186/SourceAtlasWhat 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 | $0.00050 | $0.00348 |
| Opus 5 | $0.00025 | $0.00174 |
| Sonnet 5 | $0.00010 | $0.00070 |
| Haiku 4.5 | $0.00005 | $0.00035 |
Grade A, and why
code-flow-tracer 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
Code Flow Tracer
When to Use
Trigger this skill when the user:
- Wants to understand how a feature works end-to-end
- Asks what happens when an action is triggered
- Needs to trace data flow through the system
- Asks "how does X work"
- Asks "what calls X" or "what does X call"
Instructions
- Identify the feature, function, or flow the user wants to trace
- Run
/sourceatlas:flow "<query>"with a natural language description - Returns call graph, boundary detection, and flow visualization
Query Formats
- Feature flow:
/sourceatlas:flow "user login" - Function trace:
/sourceatlas:flow "handleSubmit" - Error paths:
/sourceatlas:flow "error handling flow" - Data origin:
/sourceatlas:flow "where does userProfile come from" - Reverse trace:
/sourceatlas:flow "who calls validateToken"
What User Gets
- Call graph visualization (ASCII tree)
- Boundary detection (API, DB, LIB, CLOUD markers)
- Recursion and cycle detection
- Entry points identification
- 11 analysis modes available
Example Triggers
- "How does the login flow work?"
- "What happens when user clicks submit?"
- "Trace the checkout process"
- "Where does this data come from?"
- "Who calls this function?"
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 · 46 lines · 50 tokens per session scan A 2264d48604af
code-flow-tracer is a skill published in the GitHub repository lis186/SourceAtlas (47 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 348 once invoked, about $0.0003 per session on Opus 5. 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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