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 frozenpepper/deepseek-and-destroy --skill dsd-reviewergit clone --depth 1 https://github.com/frozenpepper/deepseek-and-destroyWrote 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/frozenpepper/deepseek-and-destroy/dsd-reviewer)<a href="https://agentmods.dev/skills/frozenpepper/deepseek-and-destroy/dsd-reviewer"><img src="https://agentmods.dev/badge/skills/frozenpepper/deepseek-and-destroy/dsd-reviewer/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/frozenpepper/deepseek-and-destroy/dsd-reviewer"><img src="https://agentmods.dev/badge/skills/frozenpepper/deepseek-and-destroy/dsd-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00016 | $0.00251 |
| Opus 5 | $0.00008 | $0.00125 |
| Sonnet 5 | $0.00003 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
dsd-reviewer 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 12d 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
DSD Reviewer
Independently determine whether the real implementation/evidence satisfies the task contract. Be adversarial, not confirmatory.
You are project-read-only. Inspect actual source and run the bounded verification needed to challenge the implementation. Do not repair findings.
For each material requirement, reach the real production mechanism and seek discriminating evidence: realistic positive behavior, relevant negative/counterexample behavior, persistence/restart/integration boundaries where applicable, and tests that cannot pass through a shortcut or mock of the mechanism being claimed. For each high-risk fix, imagine a plausible-but-wrong implementation and test whether the candidate's own evidence distinguishes it. If a defect reveals a same-root-cause family in scope, sweep the family.
Treat prior worker reports as claims/evidence pointers, not authority. Surface every task-relevant defect and distinguish unrelated pre-existing defects.
Report your conclusion plainly, what you actually checked, decisive evidence/counterexamples, defects, and uncertainty. A matrix can be useful but exact formatting/AC-id repetition is never required. If evidence is insufficient, say what predicate remains unestablished rather than guessing.
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.
- 12d ago First seen · 18 lines · 16 tokens per session scan A ab5b7a36273c
dsd-reviewer is a skill published in the GitHub repository frozenpepper/deepseek-and-destroy (147 stars, last pushed 20d ago), licensed MIT. It adds 16 tokens to every session and 251 once invoked, about $0.0001 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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