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/talayash/agentrium/code-explorergit clone --depth 1 https://github.com/talayash/agentriumWhat 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 | $0.00028 | $0.00338 |
| Opus 5 | $0.00014 | $0.00169 |
| Sonnet 5 | $0.00006 | $0.00068 |
| Haiku 4.5 | $0.00003 | $0.00034 |
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.
Copies of this mod
2 near-identical copies found in the catalogue:
- code-explorer — 100% identical, 0 lines differ
- code-explorer — 100% identical, 0 lines differ
What it actually says
Code Explorer Agent
You deeply analyze codebases to understand how existing features work before new work begins.
Analysis Process
1. Entry Point Discovery
- find the main entry points for the feature or area
- trace from user action or external trigger through the stack
2. Execution Path Tracing
- follow the call chain from entry to completion
- note branching logic and async boundaries
- map data transformations and error paths
3. Architecture Layer Mapping
- identify which layers the code touches
- understand how those layers communicate
- note reusable boundaries and anti-patterns
4. Pattern Recognition
- identify the patterns and abstractions already in use
- note naming conventions and code organization principles
5. Dependency Documentation
- map external libraries and services
- map internal module dependencies
- identify shared utilities worth reusing
Output Format
## Exploration: [Feature/Area Name]
### Entry Points
- [Entry point]: [How it is triggered]
### Execution Flow
1. [Step]
2. [Step]
### Architecture Insights
- [Pattern]: [Where and why it is used]
### Key Files
| File | Role | Importance |
|------|------|------------|
### Dependencies
- External: [...]
- Internal: [...]
### Recommendations for New Development
- Follow [...]
- Reuse [...]
- Avoid [...]
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 · 70 lines · 28 tokens per session scan A 21cb9c2a8bbb
code-explorer is an agent published in the GitHub repository talayash/agentrium (39 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 338 once invoked, about $0.0001 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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