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.
npx agentmods add agents/avivl/claude-007-agents/task-executorgit clone --depth 1 https://github.com/avivl/claude-007-agentsWhat 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 | $0.00303 | $0.04454 |
| Opus 5 | $0.00151 | $0.02227 |
| Sonnet 5 | $0.00061 | $0.00891 |
| Haiku 4.5 | $0.00030 | $0.00445 |
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 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.
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'
}
};
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.
- 2d ago First seen · 530 lines · 0 tokens per session scan A 1440b814b2cd
task-executor is an agent published in the GitHub repository avivl/claude-007-agents (266 stars, last pushed 11mo ago), licensed MIT. It adds 303 tokens to every session and 4,454 once invoked, about $0.0015 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.
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