explorer

A codebase-mapping agent that examines a project's files, conventions, tests, and dependencies before a feature is planned.

In plain words
What is it for?
Use it to locate relevant files, trace dependencies, identify integration points, map tests, and report established naming or structure patterns.
Why use it?
It reduces guesswork about where changes belong and how the existing code already handles similar work.

Agent

Install

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.

agentmods
npx agentmods add agents/restarter/lets-workflow/explorer
Clone the repo
git clone --depth 1 https://github.com/restarter/lets-workflow
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 581 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What 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.

ModelPer sessionOnce 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

Measured 2d ago against content hash 16e783e9c51e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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.

plugins/lets/agents/explorer.md · 73 lines

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

  1. Start with structure: Glob to understand directory layout
  2. Search for related code: Grep for keywords from the feature goal
  3. Read relevant files: specific files that look most related
  4. Identify patterns: How are similar things implemented?
  5. 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}

Read the full file on GitHub · 73 lines

Changes

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.

  1. 2d ago First seen · 73 lines · 35 tokens per session scan A 16e783e9c51e

Subscribe to this mod's changes

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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