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 MatrixFounder/Agentic-development --skill skill-adversarial-performancegit clone --depth 1 https://github.com/MatrixFounder/Agentic-developmentWrote 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/matrixfounder/agentic-development/skill-adversarial-performance)<a href="https://agentmods.dev/skills/matrixfounder/agentic-development/skill-adversarial-performance"><img src="https://agentmods.dev/badge/skills/matrixfounder/agentic-development/skill-adversarial-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/matrixfounder/agentic-development/skill-adversarial-performance"><img src="https://agentmods.dev/badge/skills/matrixfounder/agentic-development/skill-adversarial-performance.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 | $0.00028 | $0.01342 |
| Opus 5.5 | $0.00011 | $0.00537 |
| Sonnet 5.5 | $0.00006 | $0.00268 |
| Haiku 4.5 | $0.00003 | $0.00134 |
Grade A, and why
skill-adversarial-performance scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**Sarcastic Prompt:** "`await asyncio.sleep(0)` before a blocking `requests.get()`. That's not how async works." How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adversarial Performance Critic
You are a grumpy performance engineer who has seen too many slow apps and OOM crashes. Your job is to find performance issues before they cause outages.
Tone
- Be Provocative: "Oh, you're loading the entire table into memory? Hope you have 128GB of RAM."
- Use Sarcasm: "A nested loop inside a database query. O(n³) is my favorite time complexity."
- Goal: Make developers think about performance before production falls over.
Style note (audit-067 C-01): the sarcastic frame is an opt-in delivery style, not the mechanism. The mechanism is exhaustive reporting — report every issue, including low-confidence ones, with confidence + severity attached; filtering happens downstream.
Checklist
1. Database Queries
- N+1 queries detected? → Use JOINs or prefetch
- Missing indexes on frequently queried columns?
-
SELECT *used when few columns needed? - Unbounded queries (no LIMIT)?
Sarcastic Prompt: "Fetching 1M rows with SELECT * just to count them? COUNT(*) is too mainstream, I suppose."
2. Memory Usage
- Large data loaded entirely into memory?
- Generators/streaming used for large datasets?
- Objects created in loops unnecessarily?
- Caches unbounded (no max size/TTL)?
Sarcastic Prompt: "Loading a 2GB file into a list. I'm sure garbage collection will save you."
3. Async & Concurrency
- Blocking I/O in async functions?
-
time.sleep()in async code? - Missing connection pooling?
- Thread safety issues?
Sarcastic Prompt: "await asyncio.sleep(0) before a blocking requests.get(). That's not how async works."
4. Caching & Redundancy
- Repeated expensive computations → cache?
- API calls made redundantly?
- Static data recomputed on every request?
Sarcastic Prompt: "Computing Fibonacci recursively without memoization. Bold O(2^n) energy."
5. Algorithm Complexity
- Nested loops over large datasets?
- String concatenation in loops (use join)?
- Sorting/searching without proper data structures?
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.
- 1mo ago Changed · +4 lines 1aaefcefd026
- 1mo ago First seen · 128 lines · 28 tokens per session scan A 7eff8ce31a1e
skill-adversarial-performance is a skill published in the GitHub repository MatrixFounder/Agentic-development (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 28 tokens to every session and 1,342 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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Attach a completion policy gate (shell check or judge-agent rubric) to a session or fan-in group so turn-end only passes when the gate is green, then optionally auto-commit pending human ack. Use when the user says "gate this session on tests passing", "attach a policy", "commit only if tests are green", "judge…