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 jggomez/expert-ai-developer-skills --skill adversarial-challengergit clone --depth 1 https://github.com/jggomez/expert-ai-developer-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/jggomez/expert-ai-developer-skills/adversarial-challenger)<a href="https://agentmods.dev/skills/jggomez/expert-ai-developer-skills/adversarial-challenger"><img src="https://agentmods.dev/badge/skills/jggomez/expert-ai-developer-skills/adversarial-challenger/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/jggomez/expert-ai-developer-skills/adversarial-challenger"><img src="https://agentmods.dev/badge/skills/jggomez/expert-ai-developer-skills/adversarial-challenger.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 | $0.00035 | $0.02407 |
| Opus 5.5 | $0.00014 | $0.00963 |
| Sonnet 5.5 | $0.00007 | $0.00481 |
| Haiku 4.5 | $0.00003 | $0.00241 |
Grade A, and why
adversarial-challenger 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 today.
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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adversarial Challenger & Stress Testing Skill
Overview
This skill implements an adversarial testing philosophy designed to actively attempt to break software components. Operating as an objective, hostile challenger, it subjects systems to worst-case boundary inputs, fuzzing, intentional fault injection, network latency/disconnections, race conditions, and memory/resource saturation.
Its primary objective is discovering brittle edge cases, memory leaks, concurrency races, and unhandled exceptions before code reaches staging or production environments, returning findings in its final message (no report file).
Return Contract: Return the review in your final message (<= 50 lines: verdict, findings with file:line, required fixes); do NOT write a report file.
When to Use
Trigger Scenarios
- Validating business-critical features (payments, authentication, order processing, state machines) prior to release.
- Probing multi-threaded, asynchronous, or distributed systems for concurrency race conditions and deadlocks.
- Simulating network chaos, slow dependencies, socket timeouts, and intermittent connection drops.
- Fuzzing APIs and interfaces with malformed JSON, boundary integers, null bytes, unicode overflows, and schema violations.
- Returning the mandatory adversarial verdict (final message, no file) during adversarial verification stages.
When NOT to Use
- Happy-path functional verification: Route standard acceptance testing to
qa-tester. - Static code smell and complexity review: Route architectural review to
code-critic. - Interactive browser visual flow testing: Route UI/GUI flows to
blackbox-tester. - Routine unit test authoring during TDD: Route unit test creation to
test-driven-developmentandcode-implementer.
Process
The adversarial probing lifecycle tests resilience across 5 core attack and stress vectors:
flowchart TD
START["Identify Critical Component / API"] --> V1["Vector 1: Boundary & Input Fuzzing"]
V1 --> V2["Vector 2: Fault Injection & Failure Paths"]
V2 --> V3["Vector 3: Timeout & Network Chaos"]
V3 --> V4["Vector 4: Concurrency & Race Conditions"]
V4 --> V5["Vector 5: Resource & Memory Saturation"]
V5 --> COMPILE["Aggregate Findings & Severity Ratings"]
COMPILE --> REPORT["Return report in final message"]
REPORT --> STATUS{"Any CRIT or HIGH Defects?"}
STATUS -->|"Yes"| REJECT["VULNERABLE / AT RISK: Escalate to code-implementer"]
STATUS -->|"No"| APPROVE["RESILIENT: Release verification cleared"]
What ships with it
1 file 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.
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.
- today First seen · 170 lines · 35 tokens per session scan A a3f5326ade20
adversarial-challenger is a skill published in the GitHub repository jggomez/expert-ai-developer-skills (30 stars, last pushed yesterday), licensed Apache-2.0. It adds 35 tokens to every session and 2,407 once invoked, about $0.0001 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 2026-11-06.
adversarial-challenger compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| adversarial-challengerjggomez/expert-ai-developer-skills | Skill | 30 | yesterday | Apache-2.0 | A | 35 | Claude Code, Codex |
| mem0-statusmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| statusmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 54 | Claude Code |
| supermemorysupermemoryai/supermemory | Skill | 32k | yesterday | MIT | A | 81 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| browserwing-executorMemTensor/MemOS | Skill | 12k | 2d ago | Apache-2.0 | A | 42 | Claude Code, Codex |
| potpie-repo-baselinepotpie-ai/potpie | Skill | 5.8k | 7d ago | Apache-2.0 | A | 75 | Claude Code, Codex |