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/erlemar/dswok/unslop-codenpx skills add Erlemar/dswok --skill unslop-codegit clone --depth 1 https://github.com/Erlemar/dswokWrote 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/erlemar/dswok/unslop-code)<a href="https://agentmods.dev/skills/erlemar/dswok/unslop-code"><img src="https://agentmods.dev/badge/skills/erlemar/dswok/unslop-code.svg" alt="Measured on agentmods" 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 | $0.00047 | $0.02008 |
| Opus 5 | $0.00023 | $0.01004 |
| Sonnet 5 | $0.00009 | $0.00402 |
| Haiku 4.5 | $0.00005 | $0.00201 |
Grade A, and why
unslop-code 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 4d 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.
The source is not reproduced here
Licensed CC-BY-4.0
The repository is licensed CC-BY-4.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 4d ago First seen · 292 lines · 47 tokens per session scan A 5212593a1927
unslop-code is a skill published in the GitHub repository Erlemar/dswok (33 stars, last pushed 1mo ago), licensed CC-BY-4.0. It adds 47 tokens to every session and 2,008 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.
Other skills, from other repositories
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perforatedai-distributed
Multi-GPU setup for PerforatedAI with DataParallel or DistributedDataParallel (DDP). Invoked automatically by the perforatedai skill when multi-GPU training is detected. Handles initialization workflow, checkpoint loading, rank 0 handling, and shell script generation for DDP.
perforatedai-libraries-transformers
HuggingFace Transformers integration for PerforatedAI. Handles the Trainer-specific differences: usingperforatedai=True, GPA.metric, evalstrategy. Use when the user's script uses HuggingFace Trainer.
perforatedai-complex-methods
Solutions for non-trivial PerforatedAI integration scenarios. Use when standard integration hits edge cases such as AMP (Automatic Mixed Precision) / GradScaler crashes in p mode, or other advanced setups not covered by the main perforatedai skill.
perforatedai-wandb
WandB-specific PerforatedAI integration guardrail skill. Use when users want WandB sweeps/logging with PerforatedAI, or when fixing repeated WandB integration mistakes. Enforces strict adherence to the canonical PerforatedAI WandB API doc (api/wandb.md) and includes expandable correction sections.