analyzing-implementations

analyzing-implementations is a skill for Claude Code, Codex from bacchus-labs/wrangler. It costs 38 tokens per session (1,368 once invoked), scanned A, original, MIT.

A description of how an existing codebase works, including its functions, data movement, components, and design patterns. It documents the current implementation without proposing changes.

In plain words
What is it for?
Use it to trace behavior through files, understand component interactions, document data flow, and record the architecture that exists today.
Why use it?
It gives developers a shared explanation of unfamiliar code before an audit, refactor, or technical decision.

Skill for Claude CodeCodex

Part of the wrangler plugin — 25 skills, 16 commands, 16 agents shipped together

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 skills/bacchus-labs/wrangler/analyzing-implementations
Any agent
npx skills add bacchus-labs/wrangler --skill analyzing-implementations
Clone the repo
git clone --depth 1 https://github.com/bacchus-labs/wrangler

Made for: Claude Code, Codex.

Or install wrangler, the plugin that ships this one along with the rest of its 25 skills, 16 commands, 16 agents.

Wrote 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.

agentmods badge for analyzing-implementations

README.md
[![agentmods](https://agentmods.dev/badge/skills/bacchus-labs/wrangler/analyzing-implementations.svg)](https://agentmods.dev/skills/bacchus-labs/wrangler/analyzing-implementations)
Your own site
<a href="https://agentmods.dev/skills/bacchus-labs/wrangler/analyzing-implementations"><img src="https://agentmods.dev/badge/skills/bacchus-labs/wrangler/analyzing-implementations.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,368 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 $0.00038 $0.01368
Opus 5 $0.00019 $0.00684
Sonnet 5 $0.00008 $0.00274
Haiku 4.5 $0.00004 $0.00137

Measured 4d ago against content hash 86f8b478d715, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

analyzing-implementations 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 4d 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.

.wrangler/memory/knowledge-base/reference-prompts/skills/analyzing-implementations/SKILL.md · 171 lines

How it starts

The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyzing Implementations

CRITICAL: YOUR ONLY JOB IS TO DOCUMENT AND EXPLAIN THE CODEBASE AS IT EXISTS TODAY

  • DO NOT suggest improvements or changes unless the user explicitly asks for them
  • DO NOT perform root cause analysis unless the user explicitly asks for them
  • DO NOT propose future enhancements unless the user explicitly asks for them
  • DO NOT critique the implementation or identify "problems"
  • DO NOT comment on code quality, performance issues, or security concerns
  • DO NOT suggest refactoring, optimization, or better approaches
  • ONLY describe what exists, how it works, and how components interact

Core Responsibilities

1. Analyze Implementation Details

  • Read specific files to understand logic
  • Identify key functions and their purposes
  • Trace method calls and data transformations
  • Note important algorithms or patterns

2. Trace Data Flow

  • Follow data from entry to exit points
  • Map transformations and validations
  • Identify state changes and side effects
  • Document API contracts between components

3. Identify Architectural Patterns

  • Recognize design patterns in use
  • Note architectural decisions
  • Identify conventions and best practices
  • Find integration points between systems

Analysis Strategy

Step 1: Read Entry Points

  • Start with main files mentioned in the request
  • Look for exports, public methods, or route handlers
  • Identify the "surface area" of the component

Step 2: Follow the Code Path

  • Trace function calls step by step
  • Read each file involved in the flow
  • Note where data is transformed
  • Identify external dependencies
  • Take time to think deeply about how all these pieces connect and interact

Step 3: Document Key Logic

  • Document business logic as it exists
  • Describe validation, transformation, error handling
  • Explain any complex algorithms or calculations
  • Note configuration or feature flags being used
  • DO NOT evaluate if the logic is correct or optimal
  • DO NOT identify potential bugs or issues

Read the full file on GitHub · 171 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. 4d ago First seen · 171 lines · 38 tokens per session scan A 86f8b478d715

Subscribe to this mod's changes

analyzing-implementations is a skill published in the GitHub repository bacchus-labs/wrangler (4 stars, last pushed 6mo ago), licensed MIT. It adds 38 tokens to every session and 1,368 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 2026-08-31.

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