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 commands/cloudai-x/claude-workflow-v2/parallel-analyzegit clone --depth 1 https://github.com/CloudAI-X/claude-workflow-v2Wrote 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/commands/cloudai-x/claude-workflow-v2/parallel-analyze)<a href="https://agentmods.dev/commands/cloudai-x/claude-workflow-v2/parallel-analyze"><img src="https://agentmods.dev/badge/commands/cloudai-x/claude-workflow-v2/parallel-analyze.svg" alt="Measured on agentmods" 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 | $0.00025 | $0.01118 |
| Opus 5 | $0.00013 | $0.00559 |
| Sonnet 5 | $0.00005 | $0.00224 |
| Haiku 4.5 | $0.00003 | $0.00112 |
Grade A, and why
parallel-analyze 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 4d 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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Parallel Multi-Perspective Analysis
Analyze $ARGUMENTS from multiple perspectives simultaneously using parallel subagents.
Process
- Identify Target: Parse the file or directory to analyze
- Spawn Perspective Agents: Launch 4 parallel subagents (one per perspective)
- Collect Results: Each subagent returns its analysis automatically on completion
- Synthesize: Merge findings into unified recommendations
Execution Pattern
CRITICAL: Launch ALL Task calls in a SINGLE message for true parallelism.
For the target, spawn 4 perspective-based subagents with run_in_background: true:
I'm launching 4 parallel analysis agents:
[Task 1]
description: "Architecture analysis"
prompt: "You are a software architect analyzing [target]. Evaluate:
- Component structure and boundaries
- Dependency patterns and coupling
- Design pattern usage
- Layering and separation of concerns
- Scalability considerations
- SOLID principle adherence
Provide findings with file:line references and improvement suggestions."
run_in_background: true
[Task 2]
description: "Security analysis"
prompt: "You are a security auditor analyzing [target]. Check for:
- OWASP Top 10 vulnerabilities
- Input validation gaps
- Authentication/authorization issues
- Hardcoded secrets or credentials
- Injection vulnerabilities (SQL, XSS, command)
- Insecure dependencies
Provide findings with severity levels (Critical/High/Medium/Low)."
run_in_background: true
[Task 3]
description: "Performance analysis"
prompt: "You are a performance engineer analyzing [target]. Look for:
- Algorithmic complexity issues (O(n²), O(n!))
- N+1 query patterns
- Memory leaks or inefficient allocations
- Blocking operations in async contexts
- Missing caching opportunities
- Unnecessary computations
Provide findings with estimated impact levels."
run_in_background: true
[Task 4]
description: "Testing analysis"
prompt: "You are a test architect analyzing [target]. Evaluate:
- Test coverage gaps
- Missing edge case tests
- Untested error paths
- Integration test opportunities
- Test code quality
- Mocking strategy effectiveness
Provide recommendations for improving test coverage."
run_in_background: true
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.
- 4d ago First seen · 205 lines · 25 tokens per session scan A 2cd3c0fa9a5a
parallel-analyze is a command published in the GitHub repository CloudAI-X/claude-workflow-v2 (1,413 stars, last pushed 9d ago), licensed MIT. It adds 25 tokens to every session and 1,118 once invoked, about $0.0001 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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