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 shangzongjiang/paper-writer-skills --skill promptgit clone --depth 1 https://github.com/shangzongjiang/paper-writer-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/shangzongjiang/paper-writer-skills/prompt)<a href="https://agentmods.dev/skills/shangzongjiang/paper-writer-skills/prompt"><img src="https://agentmods.dev/badge/skills/shangzongjiang/paper-writer-skills/prompt/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/shangzongjiang/paper-writer-skills/prompt"><img src="https://agentmods.dev/badge/skills/shangzongjiang/paper-writer-skills/prompt.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 | $0.00054 | $0.02590 |
| Opus 5 | $0.00027 | $0.01295 |
| Sonnet 5 | $0.00011 | $0.00518 |
| Haiku 4.5 | $0.00005 | $0.00259 |
Grade B, and why
Prompt安全防护 scanned grade B 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 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.
Instruction-override phrasingmediumPrompt injection
Text telling the model to disregard its earlier instructions or safety rules is the shape of a prompt injection, whoever wrote it.
score = get_jailbreak_score("Ignore previous instructions") Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 316 lines · 54 tokens per session scan B e61115db93b9
Prompt安全防护 is a skill published in the GitHub repository shangzongjiang/paper-writer-skills (5 stars, last pushed 2mo ago), with no licence file. It adds 54 tokens to every session and 2,590 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (instruction-override phrasing). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
prompt-guard
Meta's 86M prompt injection and jailbreak detector. Filters malicious prompts and third-party data for LLM apps. 99%+ TPR, <1% FPR. Fast (<2ms GPU). Multilingual (8 languages). Deploy with HuggingFace or batch processing for RAG security.
prompt-engineering
Guidance for writing instructions that help AI agents produce consistent results, including structured prompts, examples, constraints, and workflow patterns. It also covers how to organize the information an agent receives.
injection-defense
Injection defense is a set of rules for stopping untrusted text from taking control of an AI agent. Prompt injection is an attack where content such as a document or webpage contains instructions meant to override the agent’s rules.
prompt-enhancer
MUST use before task execution. Clarify vague requirements, explore solutions, and ensure full understanding.
emotion-to-camera-language
A guide for turning vague visual feelings—such as cinematic, atmospheric, elegant, or healing—into concrete image or video prompt details. It uses lighting direction, depth of field, camera position, and the subject’s state.
prompt-engineer
A toolkit for writing, restructuring, and testing instructions given to language models.