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 ASI2030/Fact-Check-X --skill fact-check-x-knowledge-comparegit clone --depth 1 https://github.com/ASI2030/Fact-Check-XWrote 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/asi2030/fact-check-x/fact-check-x-knowledge-compare)<a href="https://agentmods.dev/skills/asi2030/fact-check-x/fact-check-x-knowledge-compare"><img src="https://agentmods.dev/badge/skills/asi2030/fact-check-x/fact-check-x-knowledge-compare/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/asi2030/fact-check-x/fact-check-x-knowledge-compare"><img src="https://agentmods.dev/badge/skills/asi2030/fact-check-x/fact-check-x-knowledge-compare.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 | $0.00079 | $0.00906 |
| Opus 5 | $0.00039 | $0.00453 |
| Sonnet 5 | $0.00016 | $0.00181 |
| Haiku 4.5 | $0.00008 | $0.00091 |
Grade A, and why
fact-check-x-knowledge-compare 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 11d 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
知识点结构化对比
本技能是独立、可选的本地中间层。它回答“各家说了什么、哪里相同或不同、各自有没有依据、是否忠实于自己的依据”,不回答外部世界中谁最终正确。
当前承载技能的智能体(Codex、Claude Code 等)直接完成知识点拆解和语义判断。脚本只生成任务包、校验证据约束、标准化结构并渲染报告,不调用模型 API。
第一步:生成分析任务包
python3 scripts/knowledge_compare.py \
--input <run>/results.json \
--task-output <run>/comparison-task.json
阅读 comparison-task.json 后,由当前智能体写出 comparison-analysis.json。必须遵守:
- 合并所有成功平台中可独立核验的事实,每个知识点只表达一个事实变量。
- 原子性同时约束知识点和各平台
claim;原句包含多个独立义务、条件、对象、数值或后果时必须拆点,每个claim只保留当前事实,answerExcerpt可以复用原句。 - 仅个别平台提出的实质新增事实也要单独成点,其他平台标为未覆盖;不得把新增事实并入宽泛知识点后借用深知晓锚点免查。
- 同一事实的不同数值或条件放在同一知识点下,不拆成两点。
direct是缺失后就没有直接回答用户问题;reference是背景、提醒或延伸。- 每个平台逐点写明主张、所附依据和来源忠实性。
- 有显式引用标记的平台,只能使用该回答实际标出的来源;不得从未标出的来源中补证。
- 无显式引用标记的平台,才可以在该平台完整原始来源集合中寻找依据。
- 只使用原始答案采集阶段已捕获的 URL 与正文,不搜索、不换链、不引入外部事实。
- 若确认深知晓该知识点使用可信搜索且所附官方证据支持同一个原子事实,可声明
trustedAnchor;锚点只能覆盖该事实变量,超出部分必须另起无锚点知识点,由下游可信搜索核验。 - 顶层必须生成
synthesisDraft:status固定为unverified,正文基于全部相关知识点合并并保留冲突、条件和缺口,basisKnowledgePointIds只能引用当前知识点。它是独立可交付的“综合草案(未核验)”,不能冒充权威最终答案。
第二步:验收并渲染
python3 scripts/knowledge_compare.py \
--input <run>/results.json \
--analysis <run>/comparison-analysis.json \
--output <run>/comparison.json
python3 scripts/render_comparison.py \
--results <run>/results.json \
--comparison <run>/comparison.json \
--output <run>/comparison.html
comparison.html 按实际平台数展示全部原始答案与来源、知识点对比概览和
“综合草案(未核验)”;下方展示逐知识点完整对照。
交付门禁
python3 tests/smoke_test.py
python3 "${CODEX_HOME:-$HOME/.codex}/skills/.system/skill-creator/scripts/quick_validate.py" .
What ships with it
10 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.
- agents/openai.yaml 318 B
- references/acceptance-criteria.md 2.5 KB
- references/contracts.md 4.3 KB
- scripts/common.py 967 B runs code
- scripts/knowledge_compare.py 49 KB runs code
- scripts/render_comparison.py 20 KB runs code
- tests/deepseek_reference_faithfulness_test.py 4.0 KB runs code
- tests/fixtures/comparison-analysis.json 3.0 KB
- tests/fixtures/results.json 1.3 KB
- tests/smoke_test.py 57 KB runs code
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.
- 11d ago First seen · 60 lines · 79 tokens per session scan A 5add71ee98bb
fact-check-x-knowledge-compare is a skill published in the GitHub repository ASI2030/Fact-Check-X (1 stars, last pushed today), licensed Apache-2.0. It adds 79 tokens to every session and 906 once invoked, about $0.0004 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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