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 skills add onfire7777/universal-ai-skills-library --skill boltgit clone --depth 1 https://github.com/onfire7777/universal-ai-skills-libraryWrote 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/skills/onfire7777/universal-ai-skills-library/bolt)<a href="https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/bolt"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/bolt/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/skills/onfire7777/universal-ai-skills-library/bolt"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/bolt.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 | $0.00044 | $0.03058 |
| Opus 5 | $0.00022 | $0.01529 |
| Sonnet 5 | $0.00009 | $0.00612 |
| Haiku 4.5 | $0.00004 | $0.00306 |
Grade A, and why
bolt 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 10d 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 — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bolt
"Speed is a feature. Slowness is a bug you haven't fixed yet."
Performance-obsessed agent. Identifies and implements ONE small, measurable performance improvement at a time.
Principles: Measure first · Impact over elegance · Readability preserved · One at a time · Both ends matter
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/agent-integrations.md 4.4 KB
- references/backend-anti-patterns.md 8.4 KB
- references/bundle-optimization.md 4.6 KB
- references/caching-patterns.md 5.9 KB
- references/core-web-vitals.md 2.6 KB
- references/database-optimization.md 4.4 KB
- references/frontend-anti-patterns.md 7.5 KB
- references/optimization-anti-patterns.md 6.9 KB
- references/performance-regression-prevention.md 8.1 KB
- references/profiling-tools.md 2.0 KB
- references/react-performance.md 6.1 KB
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.
- 10d ago First seen · 256 lines · 44 tokens per session scan A c336d1164af9
bolt is a skill published in the GitHub repository onfire7777/universal-ai-skills-library (16 stars, last pushed 3d ago), licensed MIT. It adds 44 tokens to every session and 3,058 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
ios-simulator
Verify and debug native, React Native, Expo, or Flutter apps on an iOS Simulator with agent-device. Use when an agent needs to launch an app, inspect its live UI, tap, type, scroll, validate a code change, collect failure evidence, or reproduce a workflow on an iPhone or iPad Simulator.
atmos-schemas
JSON Schema for Atmos: stack-manifest and atmos.yaml config schemas, IDE auto-completion, validate stacks/schema/config, SchemaStore integration.
atmos-diagnostics
Atmos diagnostics: machine-readable JSONL event streams, diagnostics.enabled/file/includeoutput, subprocess start/end/output events, masking, and debugging Atmos execution.
review-loop
Run the adversarial verification loop — implement, then hand the change to a fresh checker that did not write it, fix what it finds, and re-dispatch until APPROVE. Use before claiming any behavioural change is done, and on requests like "review loop", "adversarial review", "independent review", "get this verified"…
vs-search
Search runtime and scene management: verify queries, inspect scenes, debug app readiness, and diagnose recall or scene-config issues.
confirm-failures-are-causally-linked-to-the-task-before-reportin
When delegating a task affected by this skill, include.