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 cognitedata/builder-skills --skill performancegit clone --depth 1 https://github.com/cognitedata/builder-skillsWrote 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/cognitedata/builder-skills/performance)<a href="https://agentmods.dev/skills/cognitedata/builder-skills/performance"><img src="https://agentmods.dev/badge/skills/cognitedata/builder-skills/performance/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/cognitedata/builder-skills/performance"><img src="https://agentmods.dev/badge/skills/cognitedata/builder-skills/performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00076 | $0.04794 |
| Opus 5.5 | $0.00030 | $0.01918 |
| Sonnet 5.5 | $0.00015 | $0.00959 |
| Haiku 4.5 | $0.00008 | $0.00479 |
Grade A, and why
performance 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 2mo 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 — 534 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Fix
Systematically find and fix performance issues in $ARGUMENTS (or the whole app if no argument is given). Always measure first — never optimize blindly.
Step 1 — Measure baseline before touching anything
Run the production build and capture metrics before making any changes:
pnpm run build
pnpm run preview
Open the app in Chrome and capture:
- Lighthouse score (Performance tab → Run audit)
- React Profiler (React DevTools → Profiler → Record an interaction)
- Note the components with the longest render times and highest render counts
Record baseline numbers. Every fix must be measured against these.
Step 2 — Find and fix unnecessary re-renders
Read the component tree (start from src/App.tsx) and search for these patterns:
grep -rn --include="*.tsx" \
-E "value=\{\{|onClick=\{\(\)" src/
For each instance found, apply the fix directly:
Inline object/array creation in JSX → wrap with useMemo:
// BAD — new object on every render causes children to re-render
<Chart options={{ color: "red" }} />
// FIX — wrap with useMemo
const chartOptions = useMemo(() => ({ color: "red" }), []);
<Chart options={chartOptions} />
Event handlers recreated on every render → wrap with useCallback:
// BAD
<Button onClick={() => doSomething(id)} />
// FIX — wrap with useCallback
const handleClick = useCallback(() => doSomething(id), [id]);
<Button onClick={handleClick} />
Context that changes on every render → memoize the context value:
// BAD — new object reference every render
<MyContext.Provider value={{ user, sdk }}>
// FIX — memoize the context value
const ctxValue = useMemo(() => ({ user, sdk }), [user, sdk]);
<MyContext.Provider value={ctxValue}>
Apply React.memo to pure presentational components that receive stable props. Do NOT wrap every component — only those confirmed to re-render unnecessarily via the Profiler.
Step 3 — Find and fix DMS query patterns
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.
- 2mo ago Changed · +8 lines · -25 tokens per session ed5374e95981
- 2mo ago First seen · 526 lines · 101 tokens per session scan A 8db527c39a78
performance is a skill published in the GitHub repository cognitedata/builder-skills (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 76 tokens to every session and 4,794 once invoked, about $0.0003 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.
performance compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| performancecognitedata/builder-skills | Skill | 6 | yesterday | Apache-2.0 | A | 76 | Claude Code |
| systematic-debuggingopen-metadata/OpenMetadata | Skill | 16k | today | Apache-2.0 | A | 37 | Claude Code |
| log-error-digestzebbern/claude-code-guide | Skill | 4.7k | today | MIT | A | 71 | Claude Code, Codex |
| cwv-optimizeradobe/skills | Skill | 319 | today | Apache-2.0 | A | 112 | Claude Code |
| ci-fixersipyourdrink-ltd/bernstein | Skill | 1.2k | yesterday | Apache-2.0 | A | 15 | Claude Code, Codex |
| diagnosing-missing-recordingsPostHog/posthog | Skill | 41k | today | none | A | 76 | Claude Code, Codex |
| loop-engineeringhuytieu/COG-second-brain | Skill | 1.3k | 15d ago | MIT | A | 63 | Claude Code |