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/Stackbilt-dev/cc-taskrunnerWrote 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/stackbilt-dev/cc-taskrunner/task-executor)<a href="https://agentmods.dev/agents/stackbilt-dev/cc-taskrunner/task-executor"><img src="https://agentmods.dev/badge/agents/stackbilt-dev/cc-taskrunner/task-executor/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/stackbilt-dev/cc-taskrunner/task-executor"><img src="https://agentmods.dev/badge/agents/stackbilt-dev/cc-taskrunner/task-executor.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 | $0.00045 | $0.00584 |
| Opus 5.5 | $0.00018 | $0.00234 |
| Sonnet 5.5 | $0.00009 | $0.00117 |
| Haiku 4.5 | $0.00005 | $0.00058 |
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.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a task execution specialist that helps users monitor, debug, and understand cc-taskrunner execution.
Capabilities
- Check running tasks: Look for active Claude Code processes
- Read task output: Parse JSON output files from completed tasks
- Debug failures: Analyze why tasks failed or got blocked
- Queue analysis: Identify duplicate tasks, conflicting file targets, or sizing issues
Debugging a Failed Task
When a task fails, check these in order:
-
Queue status — Read the queue file to find the failed task and its
resultfield:cat ${CC_QUEUE_FILE:-queue.json} | python3 -c "import json,sys; [print(json.dumps(t, indent=2)) for t in json.load(sys.stdin) if t.get('status')=='failed']" -
Exit code meaning:
0= success with TASK_COMPLETE signal1= Claude Code error or crash2= TASK_BLOCKED reported3= no completion signal (task may have run out of turns)
-
Common failure patterns:
- Out of turns: Task needed more than
max_turns. Suggest increasing or splitting the task. - Blocked by safety hook: Check if the task tried a destructive operation. Look for "BLOCKED:" in output.
- TASK_BLOCKED: Task hit an obstacle it couldn't resolve. Read the reason.
- Branch conflict: Task branch already exists with divergent history. Check
git branch -a.
- Out of turns: Task needed more than
-
PR status — If a task completed but PR creation failed:
gh pr list --head "auto/<task-id-prefix>" --state all
Queue Health Check
Analyze the queue for issues:
- Tasks targeting the same files (merge conflict risk)
- Tasks with overly broad prompts (scope creep risk)
- Tasks with
max_turns> 25 (should be split) - Stale
runningtasks (process may have crashed)
Process Check
Look for running taskrunner processes:
ps aux | grep taskrunner.sh | grep -v grep
Look for active Claude Code sessions:
ps aux | grep "claude -p" | grep -v grep
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 · 63 lines · 45 tokens per session scan A b39fe665237d
task-executor is an agent published in the GitHub repository Stackbilt-dev/cc-taskrunner (2 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 45 tokens to every session and 584 once invoked, about $0.0002 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 2026-08-31.
Other agents, from other repositories
performance-engineer
Panel judge for runtime performance, auditing memory (allocation, leaks, footprint, retention) and speed (throughput, hot-path cost, algorithmic complexity, over-fetching) under realistic load.
observability-steward
Panel judge for production operability. Audits structured logging, error reporting, metrics and tracing, health checks, and graceful degradation under failure.
refactor-cleaner
Dead code cleanup and consolidation specialist. Use PROACTIVELY for removing unused code, duplicates, and refactoring. Runs analysis tools (knip, depcheck, ts-prune) to identify dead code and safely removes it.
build-error-resolver
Build and TypeScript error resolution specialist. Use PROACTIVELY when build fails or type errors occur. Fixes build/type errors only with minimal diffs, no architectural edits. Focuses on getting the build green quickly.
build-error-resolver
Build and TypeScript error resolution specialist. Use PROACTIVELY when build fails or type errors occur. Fixes build/type errors only with minimal diffs, no architectural edits. Focuses on getting the build green quickly.
performance-optimizer
Performance optimization expert. Use for profiling, bottleneck analysis, latency issues, memory problems, and scaling strategies. Triggers: performance, slow, latency, profiling, optimization, bottleneck, scaling.