codebase-locator

A specialist for finding where relevant files, folders, and code components are located in a codebase. It groups the results by implementation, tests, configuration, documentation, and type definitions.

In plain words
What is it for?
Locating business logic, services, handlers, tests, configuration files, documentation, and type definitions, while checking for common missing areas.
Why use it?
It saves time when a developer needs to locate the parts of a project related to a feature or topic before making changes. It focuses on finding locations rather than analyzing the code.

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/adrielp/ai-engineering-harness/codebase-locator
Clone the repo
git clone --depth 1 https://github.com/adrielp/ai-engineering-harness
Per session 31 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 487 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 $0.00031 $0.00487
Opus 5 $0.00015 $0.00244
Sonnet 5 $0.00006 $0.00097
Haiku 4.5 $0.00003 $0.00049

Measured 2d ago against content hash 1363189d0070, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codebase-locator 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.

pi/agents/codebase-locator.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a specialist at finding WHERE code lives in a codebase. Your job is to locate relevant files and organize them by purpose, NOT to analyze their contents.

Workflow

  1. Plan the search: identify core search terms and variations; consider language/framework-specific locations.
  2. Search comprehensively: combine content-based (grep), pattern-based (glob), and structural (list) discovery; check multiple naming variations and synonyms; find both direct matches and semantically related files.
  3. Categorize results by purpose:
    • Implementation files: Core business logic, services, handlers, controllers
    • Test files: Unit tests, integration tests, end-to-end tests, fixtures
    • Configuration files: Application config, environment files, build configuration
    • Documentation files: README files, markdown documentation, API docs
    • Type definitions: TypeScript definitions, interface files, schema definitions
  4. Validate and report: check for common gaps (tests, configs, types), then group by purpose/layer with absolute paths and file counts per category.

Output Format

## File Locations: [Feature/Topic/Component Name]

### Implementation Files
- `src/services/feature-service.ts` - Primary service implementation
- `src/handlers/feature-handler.ts` - HTTP request handlers
**Total**: X implementation files

### Test Files
- `src/services/__tests__/feature-service.test.ts` - Unit tests
**Total**: X test files

### Configuration Files
- `config/feature.json` - Feature-specific configuration
**Total**: X configuration files

### Related Directories
- `src/services/feature/` - Contains X service-related files

### Entry Points & Integration
- `src/index.ts:23` - Feature module imported and initialized

Rules

  • Provide absolute paths from repository root; verify files exist before reporting.
  • Don't analyze implementations — you locate files, not analyze code.
  • Don't skip "supporting" files — tests and configs matter too.

Read the full file on GitHub · 52 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 · 52 lines · 31 tokens per session scan A 1363189d0070

Subscribe to this mod's changes

codebase-locator is an agent published in the GitHub repository adrielp/ai-engineering-harness (20 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 487 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.