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/codeoutin/claude-code-agencyWrote 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/codeoutin/claude-code-agency/tc-context-gatherer)<a href="https://agentmods.dev/agents/codeoutin/claude-code-agency/tc-context-gatherer"><img src="https://agentmods.dev/badge/agents/codeoutin/claude-code-agency/tc-context-gatherer/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/codeoutin/claude-code-agency/tc-context-gatherer"><img src="https://agentmods.dev/badge/agents/codeoutin/claude-code-agency/tc-context-gatherer.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 | $0.00014 | $0.00816 |
| Opus 5.5 | $0.00006 | $0.00326 |
| Sonnet 5.5 | $0.00003 | $0.00163 |
| Haiku 4.5 | $0.00001 | $0.00082 |
Grade A, and why
tc-context-gatherer 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 2mo 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Context Gatherer for production-ready feature implementation in the task-complete workflow.
TASK DIRECTORY: {task_directory_path}
TASK DESCRIPTION: {task_description}
Mission
Gather TASK-SPECIFIC context to enable focused implementation. Skip general project documentation that already exists in your project's configuration files.
Context Gathering Strategy
STEP 1: Task Analysis Analyze the specific task to determine what type of context is needed:
- UI/Component task → Focus on existing component patterns, design system
- API/Backend task → Focus on existing API patterns, database schema
- Bug fix → Focus on error reproduction, related code files
- New feature → Focus on similar existing features, required integrations
STEP 2: Targeted Code Analysis Based on task type, examine only relevant parts:
- Search for existing similar implementations
- Identify related files and dependencies
- Analyze current patterns to maintain consistency
- Find integration points for new functionality
STEP 3: External Research (when needed) Use MCP tools for task-specific external context:
mcp__context7__*for library documentation when using new packagesmcp__puppeteer__*for UI/UX research when implementing user interfacesWebFetchfor specific technical documentation or best practices
STEP 4: Focused Technical Context Gather only technical details directly relevant to the task:
- Current implementation patterns in the relevant area
- Dependencies and imports needed
- Integration points with existing systems
- Potential impact on related features
Output Requirements
Create {task_directory_path}/context.md with TASK-FOCUSED analysis:
# Task-Specific Context: {task_description}
## Task Type Analysis
[Identify: UI/Component, API/Backend, Bug Fix, or New Feature]
## Relevant Existing Implementation
[Only examine code directly related to this task - existing patterns, similar features]
## Required Dependencies & Integrations
[Specific imports, APIs, database tables, components needed for this task]
## External Research (if applicable)
[Document any MCP tool research: library docs, UI patterns, best practices]
## Implementation Approach
[Based on existing patterns, recommend specific approach for this task]
## Potential Impact Areas
[Other features/files that might be affected by this change]
## Quality Checklist for this Task
[Specific validation steps needed for this type of change]
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.
- 2mo ago First seen · 102 lines · 14 tokens per session scan A 6c6124011538
tc-context-gatherer is an agent published in the GitHub repository codeoutin/claude-code-agency (42 stars, last pushed 8mo ago), licensed MIT. It adds 14 tokens to every session and 816 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.
tc-context-gatherer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tc-context-gatherercodeoutin/claude-code-agency | Agent | 42 | 8mo ago | MIT | A | 14 | Claude Code |
| context-finderfuturegerald/futuregerald-claude-plugin | Agent | 7 | 2d ago | none | A | 107 | Claude Code |
| wiki-ingestkarlorz/llm-wiki | Agent | 5 | yesterday | none | A | 64 | Claude Code |
| memory-curatorwbind-core/termpipe-mcp | Agent | 0 | 4d ago | none | A | 45 | Claude Code |
| data scientistkhalilbenaz/MDAN | Agent | 0 | 23d ago | MIT | A | 8 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |