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Install in OpenClaw
/install table-image
Description
Generate images from tables for better readability in messaging apps like Telegram. Use when displaying tabular data.
Usage Guidance
This skill is an instruction-only wrapper around the open-source tablesnap tool and is coherent with its description. Before installing: ensure you have the Go toolchain and git available (the SKILL.md omits these as required binaries); review the tablesnap GitHub repo to confirm you trust the code you will build and run; prefer installing a pinned release rather than 'latest' if you need reproducibility; be aware that building from source and running the binary will execute code retrieved from the internet and will write files (binaries and /tmp images) to your system; the optional 'tablesnap emojis install' will download emoji assets — verify that destination and contents if you care about network downloads.
Capability Analysis
Type: OpenClaw Skill
Name: table-image
Version: 1.0.0
The skill instructs the agent to install an external Go binary (`tablesnap`) from GitHub using `go install`. While this action is plausibly needed for the skill's stated purpose, it introduces a significant supply chain risk by fetching and executing code from an external, potentially untrusted source. This grants the agent broad capabilities (network access, file system write, arbitrary code execution) without clear malicious intent within the `SKILL.md` instructions themselves, classifying it as suspicious rather than benign.
Capability Assessment
Purpose & Capability
The skill's stated purpose (rendering tables to images) matches the runtime instructions which install and use the tablesnap tool. However, the manifest does not declare required binaries (the instructions require the Go toolchain and git), so the declared requirements are incomplete.
Instruction Scope
SKILL.md stays on-topic: it instructs installing/building tablesnap, piping markdown tables to the tablesnap binary, producing an image file (e.g., /tmp/table.png), and sending it via MEDIA:. It does reference filesystem paths (/tmp) and a one-time emoji download via tablesnap, which are consistent with the skill's goal.
Install Mechanism
There is no formal install spec in the manifest; instead the instructions recommend 'go install' or cloning the GitHub repo and building. Downloading/building from https://github.com/joargp/tablesnap is a common pattern and uses a well-known host, but building/executing code fetched at runtime writes binaries to disk and requires the Go toolchain.
Credentials
The skill requests no environment variables, credentials, or config paths — appropriate for a local rendering tool. There is no apparent need for additional secrets or unrelated credentials.
Persistence & Privilege
always:false and normal invocation behavior. The skill's instructions will create a binary (when the user follows the build/install steps) and write image files (e.g., /tmp/table.png), but it does not request persistent agent-wide privileges or modify other skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install table-image - After installation, invoke the skill by name or use
/table-image - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Metadata
Frequently Asked Questions
What is Table Image?
Generate images from tables for better readability in messaging apps like Telegram. Use when displaying tabular data. It is an AI Agent Skill for Claude Code / OpenClaw, with 2751 downloads so far.
How do I install Table Image?
Run "/install table-image" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Table Image free?
Yes, Table Image is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Table Image support?
Table Image is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Table Image?
It is built and maintained by joargp (@joargp); the current version is v1.0.0.
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