القائمة
Detect flaky tests by running a test command N times
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npx skills add https://github.com/hashgraph-online/awesome-codex-plugins --skill flaky-detectorيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
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Coordinate agents via the AMQ CLI for file-based inter-agent messaging. Use this skill whenever you need to send messages to another agent (codex, claude, or any named handle), check your inbox, drain queued messages, set up co-op mode between agents, join a swarm team, route messages across projects, or diagnose delivery issues. Also use it when you receive a message and need to know how to reply, inspect receipts, or handle priority. Covers any multi-agent coordination task where agents need to talk to each other — review requests, questions, status updates, decision threads, wake notifications, and orchestrator integration (Symphony, Kanban). For collaborative spec/design workflows specifically, prefer the /amq-spec skill which provides structured phase-by-phase guidance. Not intended for distributed systems design (RabbitMQ, Kafka), CI/CD pipelines, or single-agent tasks with no partner.
Parallel-research-then-converge design workflow between two agents. Use this skill when the user wants two agents to independently think through a design problem before aligning on a solution — "spec X with codex", "design X together", "both agents think through X", "brainstorm architecture together", "parallel research then joint proposal", "think through separately then align", "careful thought from both sides before coding", or any variation where the user wants collaborative design rather than just splitting implementation work. Also use this when you receive a message labeled workflow:spec and need to know the correct receiver-side protocol. Not for sending simple messages or reviews (use /amq-cli), implementing completed designs, or creating document templates.
Use when defining new features, product behavior, UI/component design, architecture choices, contract changes, or ambiguous medium/high-complexity work before implementation, or when the user asks to grill or pressure-test a plan or design.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | flaky-detector |
| description | Detect flaky tests by running a test command N times |
| allowed-tools | Bash |
| license | MIT |
Role: act as a flake hunter. Identify tests that don't always agree with themselves.
Run the helper:
python3 scripts/flaky.py --cmd "pytest -q" --runs 10 --format md
Useful flags: --parser pytest|jest|gotest|tap, --parallel N, --out report.json.
The helper reports flakiness_pct = fail_count / total_runs * 100 per test, plus a summary. Exit codes: 0 clean, 1 flaky tests found, 2 always-failing tests found. Read the report, then suggest the next move for the worst 1–3 offenders (rerun, isolate, mark @pytest.mark.flaky, or root-cause). Don't speculate beyond what the output supports.