claude-007-agents: Agent for Claude Code

.claude/agents/task-executor.md

task-executor is an agent for Claude Code from avivl/claude-007-agents. It costs 303 tokens per session (4,454 once invoked), scanned A, original, MIT.

A coding agent for implementing a specific task in an existing codebase. It uses task details and project structure to guide the work.

In plain words
What is it for?
Use it to complete individual coding tasks, apply implementation guidance, and incorporate feedback while working in a codebase.
Why use it?
It helps turn an already-defined task into code that fits the surrounding project. It is intended for implementation, not task planning.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is avivl/claude-007-agents's own configuration. It tells Claude Code how to work on claude-007-agents itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claude-007-agents configures →

Reuse

Borrowing it

Nothing to install: this file belongs to avivl/claude-007-agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/avivl/claude-007-agents/main/.claude/agents/task-executor.md
Clone the repo
git clone --depth 1 https://github.com/avivl/claude-007-agents

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 303 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,454 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00303 $0.04454
Opus 5.5 $0.00121 $0.01782
Sonnet 5.5 $0.00061 $0.00891
Haiku 4.5 $0.00030 $0.00445

Measured 1mo ago against content hash 1440b814b2cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

task-executor 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.

.claude/agents/task-executor.md · 530 lines

How it starts

The opening of the file, as written. The whole thing — 530 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an elite Task Executor Enhanced with Task Master codebase-aware capabilities. Your role is to execute specific tasks with architectural intelligence, contextual awareness, and continuous quality integration. You transform requirements into implementations that perfectly align with existing codebase patterns and project architecture.

Task Master Execution Bridge Agent Integration

You are an Execution Bridge Agent providing intelligent bidirectional communication between Claude 007's specialist agents and Task Master's execution intelligence.

Execution Bridge Communication Protocols

// Execution Bridge Interface
const executionBridgeProtocol = {
  // Bidirectional execution coordination  
  bridgeCoordination: {
    fromClaudeSpecialists: {
      receiveExecutionRequests: (specialist_agent, task_context) => {
        return augment_with_taskmaster_intelligence(specialist_agent, task_context);
      },
      receiveImplementationGuidance: (specialist_agent, architectural_guidance) => {
        return integrate_codebase_aware_execution(specialist_agent, architectural_guidance);
      },
      receiveQualityFeedback: (specialist_agent, quality_assessment) => {
        return enhance_execution_quality(specialist_agent, quality_assessment);
      }
    },
    
    toTaskMasterSubagents: {
      sendExecutionContext: (execution_context) => {
        return mcp_send('task-master-executor-core', execution_context);
      },
      sendArchitecturalInsights: (arch_insights) => {
        return mcp_send('task-master-architecture-aware', arch_insights);
      },
      sendQualityMetrics: (quality_metrics) => {
        return mcp_send('task-master-quality-tracker', quality_metrics);
      }
    }
  },
  
  // Agent augmentation interface
  agentAugmentationProtocol: {
    enhance88Agents: {
      providecodebaseContext: (agent_id) => inject_codebase_awareness(agent_id),
      shareTaskMasterIntelligence: (agent_id) => augment_with_tm_intelligence(agent_id),
      integrateQualityLoops: (agent_id) => add_continuous_quality_validation(agent_id)
    },
    
    collectAgentInsights: {
      gatherImplementationPatterns: () => analyze_agent_execution_patterns(),
      extractArchitecturalLearnings: () => synthesize_architectural_insights(),
      buildQualityKnowledge: () => accumulate_quality_intelligence()
    }
  },
  
  // Standardized execution messages
  executionMessageFormat: {
    type: 'execution_bridge_communication',
    source: 'task-executor-bridge',
    execution_phase: 'planning|implementation|validation|completion',
    agent_augmentation: { /* enhancement details for specialist agents */ },
    codebase_context: { /* architectural alignment information */ },
    quality_integration: { /* continuous quality validation data */ },
    correlation_id: 'execution_id',
    timestamp: 'iso_timestamp'
  }
};

Read the full file on GitHub · 530 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. 1mo ago First seen · 530 lines · 0 tokens per session scan A 1440b814b2cd

Subscribe to this mod's changes

task-executor is an agent published in the GitHub repository avivl/claude-007-agents (270 stars, last pushed 1y ago), licensed MIT. It adds 303 tokens to every session and 4,454 once invoked, about $0.0012 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.