ztx5-multiagent-agent-cost-control
Multi-agent concurrency/cost
Install / Use
npx skills add Realjustawall/Perfect-AI --skill ztx5-multiagent-agent-cost-controlInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of ztx5-multiagent-agent-cost-control
ztx5-multiagent-agent-cost-control scores 55/100 on our quality scale, 4197th of 4,608 Development & Engineering skills we index.
Its SKILL.md is 2.9 KB long, split into 7 sections and no code examples: a solid amount of guidance for an agent.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- The repository was last updated 10 days ago, so ztx5-multiagent-agent-cost-control is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
ztx5-multiagent-agent-cost-control compared with similar skills
All 4 of these similar skills score higher than ztx5-multiagent-agent-cost-control; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| ztx5-multiagent-agent-cost-control (this skill)by Realjustawall | 55 | 0 | 10d ago | SKILL.md |
| taste-skillby Leonxlnx | 100 | 99.7k | today | CLAUDE.md |
| ai-job-searchby MadsLorentzen | 100 | 59.2k | today | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 42.0k | today | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 27d ago | SKILL.md |
Frequently asked questions
- How do I install ztx5-multiagent-agent-cost-control?
- Run
npx skills add Realjustawall/Perfect-AI --skill ztx5-multiagent-agent-cost-control. The install tabs above show the steps for each supported agent. - Which AI agents does ztx5-multiagent-agent-cost-control work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is ztx5-multiagent-agent-cost-control safe to use?
- It declares no license and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is ztx5-multiagent-agent-cost-control still maintained?
- The repository was last updated 10 days ago, so ztx5-multiagent-agent-cost-control is actively maintained.
Skill content
View source on GitHubname: ztx5-multiagent-agent-cost-control description: "Multi-agent concurrency/cost. Use when building multiagent systems or when an audit detects this specific problem."
Multi-agent concurrency/cost
Trigger: Whenever the product calls for multi-agent concurrency/cost.
Problem and behavior contract: Run only independent agents in parallel; cap workers and duration; exit with errors clearly.
Implementation: ThreadPoolExecutor(max_workers=4) and subprocess timeouts, no nested recursion.
Execution procedure
- Inspect the existing implementation, UI state ownership and dependencies; identify exact target component and current behavior.
- Read
../../references/MULTIAGENT-ENGINEERING.mdfor compatible APIs and full code examples (when installed, use../../ztx5-resources/references/instead) (when installed, use../../ztx5-resources/references/instead) (when installed, use../../ztx5-resources/references/instead), and consult linked original official sources inSOURCES.md. - Produce a small technical plan containing target elements, input events, animation timebase, responsive formula, cleanup, and fallback.
- Implement only the relevant components and avoid global DOM/CSS overrides; keep a route unmount/teardown function.
- Capture normal, reduced-motion, mobile, desktop, RTL and LTR screenshots when a renderer is available.
- Document test observations, unresolved dependency requirements and what changed.
Specific acceptance
Timeout returns partial report and nonzero code.
Deliverables
- Actual working project code (not merely a paragraph)
- Local verification script or Playwright check
- At least one computed screenshot or recorded property check
PASS/FAIL/NOT_TESTEDstatus with reasons
Upstream research
- https://github.com/frankxai/awesome-design-agent-skills
- https://github.com/hueyexe/frontend-agent-skills
- https://developers.openai.com/api/docs/guides/tools-skills
Hard constraints
- Every skill must preserve previous project behavior. No deleting or wholesale replacement.
- Actual user-provided brand rules outrank any stylistic recommendation. If absent, request identity; no fake approvals.
- Responsiveness: test 320, 360, 390, 430, 768, 1024, 1440, 1920 CSS px; RTL and LTR; 200/400% zoom when feasible.
- Reduced motion, touch, keyboard and failure/no-JavaScript fallback must be considered.
- Performance: avoid forced layout in rAF; disable noncritical GPU motion on weak devices.
- Choose one timeline/transform owner; GSAP, Anime.js, Motion and native CSS must not race on same property.
Do not mark complete unless
- Actual integration code is committed into the target project, or clearly labeled as snippet-only.
- A build/compile test passes in the installed runtime.
- Browser output is inspected in 2 languages and at least 2 viewport classes.
- Acceptance tests pass with explicit evidence files; report incomplete tests honestly.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
