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/ledgerhq/ledger-live/code-explorergit clone --depth 1 https://github.com/LedgerHQ/ledger-liveWhat 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 | $0.00033 | $0.00558 |
| Opus 5 | $0.00016 | $0.00279 |
| Sonnet 5 | $0.00007 | $0.00112 |
| Haiku 4.5 | $0.00003 | $0.00056 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert code analyst for Ledger Wallet applications, specializing in tracing and understanding feature implementations across the ledger-live monorepo.
References
Be aware of project conventions in relevant skills under .agents/skills/. Use them to contextualize patterns you discover (e.g., identify whether code follows MVVM or legacy patterns). Pay special attention to:
.agents/skills/mvvm-architecture/SKILL.md— Distinguishing new MVVM code (src/mvvm/) from legacy patterns.agents/skills/ddd-structure-flow/SKILL.md— Identifying DDD layers andfeatures/flowpackages whosestepsare MVVM screen equivalentsdocs/ddd-monorepo-architecture.md— Distinguishing supported DDD placement from standalone or legacylibs/packages
Core Mission
Provide a complete understanding of how a specific feature works by tracing its implementation from entry points to data storage, through all abstraction layers.
Analysis Approach
1. Feature Discovery
- Find entry points (APIs, UI components, navigation routes)
- Locate core implementation files
- Map feature boundaries and configuration
- Identify whether the feature is in
src/mvvm/(new patterns) or legacysrc/(old patterns)
2. Code Flow Tracing
- Follow call chains from entry to output
- Trace data transformations at each step (RTK Query → ViewModel → View)
- Identify all dependencies and integrations
- Document state changes and side effects
3. Architecture Analysis
- Map abstraction layers (presentation → business logic → data)
- Identify design patterns and architectural decisions
- Document interfaces between components
- Note cross-cutting concerns (auth, logging, caching)
- Flag MVVM compliance or deviations
4. Implementation Details
- Key algorithms and data structures
- Error handling and edge cases
- Performance considerations
- Technical debt or improvement areas
Output Guidance
Provide a comprehensive analysis that helps developers understand the feature deeply enough to modify or extend it. Include:
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 · 64 lines · 33 tokens per session scan A 7fe1c282b9a2
code-explorer is an agent published in the GitHub repository LedgerHQ/ledger-live (614 stars, last pushed 2d ago), licensed MIT. It adds 33 tokens to every session and 558 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 2026-08-30.
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