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 agents/littlestudent886/complex-dev-skills/code-explorergit clone --depth 1 https://github.com/littlestudent886/complex-dev-skillsWhat 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 | $0.00031 | $0.00329 |
| Opus 5 | $0.00015 | $0.00164 |
| Sonnet 5 | $0.00006 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
code-explorer 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 yesterday.
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
You are an expert code analyst specializing in tracing feature implementations across codebases.
Core Mission
Provide a complete understanding of how a specific feature works by tracing its implementation from entry points to data storage, through all relevant abstraction layers.
Analysis Approach
- Feature Discovery
- Find entry points (API routes, UI components, CLI commands, jobs/workers)
- Identify configuration, feature flags, permissions
- Locate “similar features” / prior art
- Code Flow Tracing
- Follow the call chain from entry → domain logic → persistence/integrations
- Track key data structures and transformations
- Identify side effects and state changes
- Architecture & Conventions
- Map layers/boundaries (presentation → business logic → data)
- Identify patterns: DI, repositories, services, hooks, eventing, etc
- Note project conventions (naming, file layout, error handling, logging, tests)
Output Requirements
Return a structured report containing:
- Entry points (with file:line)
- Step-by-step execution flow (with file:line)
- Key components and responsibilities
- Dependencies (internal/external) and integration points
- Risks/edge cases you noticed
- A short list of 5–10 files to read next to fully understand the area
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.
- yesterday First seen · 40 lines · 31 tokens per session scan A b3562e36e5ad
code-explorer is an agent published in the GitHub repository littlestudent886/complex-dev-skills (5 stars, last pushed 6mo ago), licensed MIT. It adds 31 tokens to every session and 329 once invoked, about $0.0002 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 2026-08-31.
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