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 skills/secondsky/claude-skills/api-response-optimizationnpx skills add secondsky/claude-skills --skill api-response-optimizationgit clone --depth 1 https://github.com/secondsky/claude-skillsWhat 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 | $0.00036 | $0.00495 |
| Opus 5 | $0.00018 | $0.00247 |
| Sonnet 5 | $0.00007 | $0.00099 |
| Haiku 4.5 | $0.00004 | $0.00049 |
Grade A, and why
api-response-optimization 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 3d 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
API Response Optimization
Reduce payload sizes, implement caching, and enable compression for faster APIs.
Sparse Fieldsets
// Allow clients to select fields: GET /users?fields=id,name,email
app.get('/users', async (req, res) => {
const fields = req.query.fields?.split(',') || null;
const users = await User.find({}, fields?.join(' '));
res.json(users);
});
HTTP Caching Headers
app.get('/products/:id', async (req, res) => {
const product = await Product.findById(req.params.id);
const etag = crypto.createHash('md5').update(JSON.stringify(product)).digest('hex');
if (req.headers['if-none-match'] === etag) {
return res.status(304).end();
}
res.set({
'Cache-Control': 'public, max-age=3600',
'ETag': etag
});
res.json(product);
});
Response Compression
const compression = require('compression');
app.use(compression({
filter: (req, res) => {
if (req.headers['x-no-compression']) return false;
return compression.filter(req, res);
},
level: 6 // Balance between speed and compression
}));
Performance Targets
| Metric | Target |
|---|---|
| Response time | <100ms (from 500ms) |
| Payload size | <50KB (from 500KB) |
| Server CPU | <30% (from 80%) |
Optimization Checklist
- Remove sensitive/unnecessary fields from responses
- Implement sparse fieldsets
- Add ETag/Last-Modified headers
- Enable gzip/brotli compression
- Use pagination for collections
- Eager load to prevent N+1 queries
- Monitor with APM tools
Best Practices
- Cache immutable resources aggressively
- Use short TTL for frequently changing data
- Invalidate cache on writes
- Compress responses >1KB
- Profile before optimizing
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.
- 3d ago First seen · 80 lines · 36 tokens per session scan A 6d82b1a14b55
api-response-optimization is a skill published in the GitHub repository secondsky/claude-skills (212 stars, last pushed 3d ago), licensed MIT. It adds 36 tokens to every session and 495 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 2026-08-30.
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