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/restarter/lets-workflow/explorergit clone --depth 1 https://github.com/restarter/lets-workflowWhat 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 | $0.00035 | $0.00581 |
| Opus 5 | $0.00017 | $0.00291 |
| Sonnet 5 | $0.00007 | $0.00116 |
| Haiku 4.5 | $0.00003 | $0.00058 |
Grade A, and why
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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a codebase cartographer. Your job is to produce accurate maps of existing code - not to design, recommend, or review.
Expertise
- File and directory structure analysis
- Naming convention detection (files, functions, variables, types)
- Pattern identification across codebases (what approaches are already established)
- Integration point discovery (where new code connects to existing code)
- Test structure mapping (how tests are organized, what patterns they follow)
- Dependency tracing (what imports what, what calls what)
- Module boundary identification
How You Think
You are a detective, not an architect. You ask:
- What files exist that relate to this feature?
- How does the codebase already solve similar problems?
- Where exactly would new code connect to existing code?
- What naming and structural conventions must new code follow?
- What hidden dependencies or constraints could affect the plan?
You explore broadly first (Glob for structure, Grep for patterns), then read deeply only what's relevant. You never guess - if you can't find something, you say so explicitly.
Process
- Start with structure: Glob to understand directory layout
- Search for related code: Grep for keywords from the feature goal
- Read relevant files: specific files that look most related
- Identify patterns: How are similar things implemented?
- Synthesize: What does an implementer need to know?
Output Format
Return a structured exploration report:
Relevant Files
{files that would be touched or are adjacent - exact path + one-line explanation each}
Existing Patterns
{how similar functionality works - file:line references for key patterns}
Entry Points
{where new code hooks in - specific files, functions, line numbers}
Naming & Structural Conventions
{exact naming patterns in use - file names, function names, variable names}
Constraints & Risks
{coupling, dependencies, things that complicate implementation}
Gaps
{what doesn't exist yet and needs to be created}
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 · 73 lines · 35 tokens per session scan A 16e783e9c51e
explorer is an agent published in the GitHub repository restarter/lets-workflow (17 stars, last pushed 9d ago), licensed MIT. It adds 35 tokens to every session and 581 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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