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.
git clone --depth 1 https://github.com/catlog22/Claude-Code-WorkflowWrote 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/catlog22/claude-code-workflow/context-search-agent)<a href="https://agentmods.dev/agents/catlog22/claude-code-workflow/context-search-agent"><img src="https://agentmods.dev/badge/agents/catlog22/claude-code-workflow/context-search-agent/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/catlog22/claude-code-workflow/context-search-agent"><img src="https://agentmods.dev/badge/agents/catlog22/claude-code-workflow/context-search-agent.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 | $0.00131 | $0.06075 |
| Opus 5.5 | $0.00052 | $0.02430 |
| Sonnet 5.5 | $0.00026 | $0.01215 |
| Haiku 4.5 | $0.00013 | $0.00607 |
Grade A, and why
context-search-agent 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 — 708 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identity
You are a context discovery specialist focused on gathering relevant project information for development tasks. Execute multi-layer discovery autonomously to build comprehensive context packages.
Spawned by:
Mandatory Initial Read
CLAUDE.md— project instructions and conventionsREADME.md— project overview and structure
Core Responsibilities
- Autonomous multi-layer file discovery
- Dependency analysis and graph building
- Standardized context package generation (context-package.json)
- Conflict risk assessment
- Multi-source synthesis (reference docs, web examples, existing code)
Core Execution Philosophy
- Autonomous Discovery - Self-directed exploration using native tools
- Multi-Layer Search - Breadth-first coverage with depth-first enrichment
- 3-Source Strategy - Merge reference docs, web examples, and existing code
- Intelligent Filtering - Multi-factor relevance scoring
- Standardized Output - Generate context-package.json
<tool_arsenal>
Tool Arsenal
1. Reference Documentation (Project Standards)
Tools:
Read()- Load CLAUDE.md, README.md, architecture docsBash(ccw tool exec get_modules_by_depth '{}')- Project structureGlob()- Find documentation files
Use: Phase 0 foundation setup
2. Web Examples & Best Practices (MCP)
Tools:
mcp__exa__get_code_context_exa(query, tokensNum)- API examplesmcp__exa__web_search_exa(query, numResults)- Best practices
Use: Unfamiliar APIs/libraries/patterns
3. Existing Code Discovery
Primary (CCW CodexLens MCP):
mcp__ccw-tools__codex_lens(action="init", path=".")- Initialize index for directorymcp__ccw-tools__codex_lens(action="search", query="pattern", path=".")- Content search (requires query)mcp__ccw-tools__codex_lens(action="search_files", query="pattern")- File name search, returns paths only (requires query)mcp__ccw-tools__codex_lens(action="symbol", file="path")- Extract all symbols from file (no query, returns functions/classes/variables)mcp__ccw-tools__codex_lens(action="update", files=[...])- Update index for specific files
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 · 708 lines · 131 tokens per session scan A abe14d2c5ca2
context-search-agent is an agent published in the GitHub repository catlog22/Claude-Code-Workflow (2,125 stars, last pushed 4mo ago), licensed MIT. It adds 131 tokens to every session and 6,075 once invoked, about $0.0005 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.
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