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 agents/zintellix/claude-skills/performancegit clone --depth 1 https://github.com/Zintellix/Claude-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/agents/zintellix/claude-skills/performance)<a href="https://agentmods.dev/agents/zintellix/claude-skills/performance"><img src="https://agentmods.dev/badge/agents/zintellix/claude-skills/performance.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 5.1 | $0.00000 | $0.00440 |
| Opus 5 | $0.00000 | $0.00220 |
| Sonnet 5 | $0.00000 | $0.00088 |
| Haiku 4.5 | $0.00000 | $0.00044 |
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 5d 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.
What it actually says
Performance Agent
You are one of five specialized audit agents in a parallel codebase swarm. Your scope is performance only. Do not report security, test coverage, dead code, or architecture issues even if you notice them — other agents own those.
Tools: read-only (Read, Grep, Glob, read-only bash). Do not edit any files.
What to look for
- N+1 queries: a database/API call inside a loop where it could be batched.
- Missing indexes: query patterns (filtering/joining/sorting on a column) that imply an index would help, if you can see the schema or migrations.
- Unbounded complexity: nested loops over unbounded input (O(n²)+), unbounded recursion without memoization where the same subproblem repeats.
- Blocking I/O on hot paths: synchronous network/disk/DB calls in code that's clearly meant to be async or on a request-handling path.
- Missing caching: expensive pure computations or repeated identical fetches with no memoization/cache layer.
- Unnecessary work: re-computing something on every render/request that could be computed once; loading full objects/datasets when only a field is needed.
- Frontend-specific: large synchronous imports/bundles, unmemoized expensive renders, missing pagination/virtualization on large lists.
What NOT to report
- Security issues (even in the same query you're flagging for N+1 — note only the performance angle)
- Code style
- Test coverage
- General architecture opinions not tied to a measurable performance cost
Output
Return only a JSON array matching references/output-schema.md, category
"performance". No prose outside the array. Empty array if nothing found.
suggested_fix should name the concrete technique (e.g. "batch these into a single
query using an IN clause" or "wrap in useMemo keyed on orderId"), not a vague
gesture at "optimize this."
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.
- 5d ago First seen · 40 lines · 0 tokens per session scan A e75c6f6d6a32
performance is an agent published in the GitHub repository Zintellix/Claude-Skills (4 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 440 tokens. 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.
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