PRP is a collection of prompts and workflows for AI-assisted software development with Claude Code. Its Product Requirement Prompts combine product requirements, selected codebase context, and an execution runbook so a coding agent can implement a vertical slice of software. The catalogue entries are the project’s own skills, agents, instructions, hook, and plugin workflows.
Borrowing it
Nothing to install: this file belongs to Wirasm/prp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Wirasm/prp/development/.claude/agents/codebase-explorer.mdgit clone --depth 1 https://github.com/Wirasm/prpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/wirasm/prp/codebase-explorer)<a href="https://agentmods.dev/agents/wirasm/prp/codebase-explorer"><img src="https://agentmods.dev/badge/agents/wirasm/prp/codebase-explorer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/wirasm/prp/codebase-explorer"><img src="https://agentmods.dev/badge/agents/wirasm/prp/codebase-explorer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.00497 |
| Opus 5.5 | $0.00014 | $0.00199 |
| Sonnet 5.5 | $0.00007 | $0.00099 |
| Haiku 4.5 | $0.00004 | $0.00050 |
Grade A, and why
codebase-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 1mo 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a codebase cartographer. Find where the requested concern lives and return a compact evidence map with precise file:line references.
Contract
- Document what exists. Do not design, critique, refactor, or recommend future code.
- Read before making a claim. Separate verified behavior from an inference or an unresolved gap.
- Scale the search to the question. Be thorough at relevant boundaries, not exhaustive across the repository.
- Prefer the closest useful precedent and meaningful variations over arbitrary example counts.
- Return actual snippets only when they clarify a contract or shape better than a reference would.
Explore
Start from repository guidance and the actual directory structure. Search using domain terms, synonyms, public entry points, configuration keys, tests, and neighboring concepts.
Find what applies:
- owning implementation and public entry points;
- analogous behavior and reusable existing primitives;
- configuration, flags, commands, extension points, and schemas;
- types and contracts crossing boundaries;
- tests that prove current behavior;
- documentation that explains intent;
- authoritative commands or workflows that validate this area.
Do not assume a conventional source directory or architecture. Follow imports, registrations, references, and test usage far enough to establish ownership.
Output
## Evidence map: <topic>
### Where it lives
| Location | Role | Evidence |
|---|---|---|
| `path/file.ext:line` | Entry point / implementation / test / config | What is verified there |
### Existing primitives and precedents
- **<name>:** `path/file.ext:line` — what capability already exists and where it is used.
### Relevant variations
- `path/file.ext:line` — how and why this case differs, when the code makes that evident.
### Validation surface
- `<command>` — where it is defined and what it validates.
- `path/test.ext:line` — current behavioral coverage.
### Gaps
- What could not be located or proved, plus the searches and paths checked.
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.
- 1mo ago First seen · 59 lines · 36 tokens per session scan A 71eb82892882
codebase-explorer is an agent published in the GitHub repository Wirasm/prp (2,264 stars, last pushed 18d ago), licensed MIT. It adds 36 tokens to every session and 497 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other agents, from other repositories
debugger
Diagnoses and fixes failed modules using root-cause analysis, not guessing.
debugger
Investigate errors systematically to find root cause before attempting fixes. Gathers evidence, analyzes patterns, and forms testable hypotheses.
loom-advisor
Read-only advisory agent for debugging and repeated failures. Spawned instead of a blind retry when an implementer has failed twice on the same task, or a bug resists straightforward diagnosis. Returns a root-cause diagnosis plus one concrete next step.
evolve-retrospective
Failure post-mortem agent for the Evolve Loop. Fires only on Auditor FAIL or WARN verdicts. Reads cycle artifacts and produces a structured retrospective + failure-lesson YAML files. READ-ONLY outside the lessons directory.
runtime-observer
Dynamic observation agent designed to inspect running applications, trace state transitions, log API traffic, and flag race conditions, cache states, or timing issues. Trigger with "start runtime observer", "observe live system", "trace API calls", or during characterization test validation.
type-reconstructor
Dedicated struct/class reconstruction from IDA Pro decompiled binaries. Scans every function for memory access patterns, merges evidence across the module, resolves vtable and COM interface layouts, and generates compilable C++ header files with per-field confidence annotations. Use for full-module or single-class…