📦 Graph Interpretation — 图表解读

v0.1.0

一键解析科研图表，自动生成图注与讲解，助力论文与报告可视化表达。

0· 136·2 当前·2 累计

by @aipoch-ai (AIpoch)

数据分析文档工具

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最后更新

2026/3/23

安全扫描

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OpenClaw

可疑

high confidence

The SKILL.md promises substantial image-based graph interpretation features but the shipped code is a tiny, mismatched placeholder and required scripts/dependencies are missing — this incoherence makes the skill suspicious.

评估建议

Do not install or enable this skill yet. The documentation (SKILL.md) promises many image-analysis features, but the package only contains a small placeholder script and references a missing scripts/graph_interpreter.py and many non-existent APIs. That mismatch can cause the agent to attempt arbitrary shell/file operations or fail unexpectedly. Before proceeding, ask the author for: (1) the missing implementation files, (2) a dependency/install manifest (pip/conda) for image/ML libs, (3) tests o...

详细分析 ▾

⚠ 用途与能力

The skill claims advanced image-based graph interpretation (Kaplan‑Meier, ROC, AUC extraction, caption generation, batch CLI, etc.) but the repository contains only a small scripts/main.py implementing a trivial GraphInterpretation.describe() template. SKILL.md references scripts/graph_interpreter.py and many APIs (interpret(), analyze(), extract_statistics()) that do not exist in the codebase. This mismatch suggests the shipped artifacts do not implement the described purpose.

⚠ 指令范围

Runtime instructions (SKILL.md) instruct the agent to read local image files, run a CLI (python scripts/graph_interpreter.py), and process batches of figures. The referenced CLI/script file is absent. The SKILL.md header also lists allowed-tools: "Read Write Bash Edit", granting broad filesystem and shell access that goes beyond a simple text/template helper. The instructions are thus out-of-sync with available code and give the agent broad discretion to read/write and run shell commands.

ℹ 安装机制

There is no install spec (instruction-only), which is lower risk in itself. However, the documented features would normally require external libraries (image processing, ML, stats) and an install/dependency list — none are declared. The absence of an install step combined with heavy claimed capabilities is an implementation gap (not necessarily malicious) but is suspicious.

✓ 凭证需求

The skill declares no required environment variables, no credentials, and no config paths. SKILL.md also does not reference any secrets or external endpoints. From a credentials standpoint, requested access is proportionate (none).

ℹ 持久化与权限

always: false and default model invocation settings are normal. However, the SKILL.md allowed-tools field grants Read/Write/Bash/Edit capabilities which give the agent broad filesystem and shell privileges when invoked — reasonable for local image processing but broader than strictly necessary for a caption-template helper. This should be reviewed before enabling.

安全有层次，运行前请审查代码。

运行时依赖

无特殊依赖

版本

latestv0.1.02026/3/23

Initial release – graph-interpretation skill for scientific data visualization analysis. - Provides interpretation and explanation of scientific graphs and charts for research, clinical, and academic use. - Supports multiple graph types including Kaplan-Meier, forest plot, ROC, box plot, scatter plot, bar chart, heatmap, and volcano plot. - Extracts and reports statistical metrics such as hazard ratios, confidence intervals, p-values, and effect sizes. - Generates audience-specific explanations and publication-ready figure captions. - Includes a critical appraisal tool and quality checklist to identify common visualization issues and ensure reporting standards. - Offers command-line and programmatic usage examples for figure analysis, caption generation, and batch processing.

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安装命令

点击复制

官方npx clawhub@latest install graph-interpretation

镜像加速npx clawhub@latest install graph-interpretation --registry https://cn.longxiaskill.com

数据来源：ClawHub ↗ · 中文优化：龙虾技能库