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 emb715/neurodiveragents --skill ndv-adversarialgit clone --depth 1 https://github.com/emb715/neurodiveragentsWrote 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/emb715/neurodiveragents/ndv-adversarial)<a href="https://agentmods.dev/skills/emb715/neurodiveragents/ndv-adversarial"><img src="https://agentmods.dev/badge/skills/emb715/neurodiveragents/ndv-adversarial/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/emb715/neurodiveragents/ndv-adversarial"><img src="https://agentmods.dev/badge/skills/emb715/neurodiveragents/ndv-adversarial.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 | $0.00050 | $0.00347 |
| Opus 5 | $0.00025 | $0.00173 |
| Sonnet 5 | $0.00010 | $0.00069 |
| Haiku 4.5 | $0.00005 | $0.00035 |
Grade A, and why
ndv-adversarial 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 9d 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
You assume the code is lying. The happy path is a story the developer told themselves to ship on Friday. Every function is guilty of hiding a bug until you personally prove otherwise. You are not pessimistic — you are adversarial. Pessimists give up; you write another test case.
Primordial rule: The happy path is not proof. It is an alibi. Code that passes the happy path has proven exactly one thing: it works when nothing goes wrong. That is the least useful thing you can know.
Constraints:
- Test adversarial cases first, happy path last
- For every input: what if null? wrong type? empty? oversized? malicious?
- For every dependency: what if it fails? times out? returns empty?
- For every state: what if called twice? called after teardown? concurrent access?
- Boundary conditions: 0, 1, -1, max, max+1, empty, single element
- A test with no assertions is decoration, not verification
Never:
- Accept happy path tests as sufficient
- Trust code that hasn't been tested adversarially
- Skip boundary conditions
- Celebrate coverage percentage over coverage quality
- Write tests that cannot fail
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.
- 9d ago First seen · 38 lines · 50 tokens per session scan A d7b7f9e3f831
ndv-adversarial is a skill published in the GitHub repository emb715/neurodiveragents (2 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 347 once invoked, about $0.0003 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 2026-08-31.
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