Text hygiene as a dsh plugin: sanitize untrusted text, scan invisible characters, clean LLM formatting, and escape CSV formula injection.

Install

# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)

dsh plugin --profile web add github:ylwl1997/noatmark-dsh-plugin

GitHub-sourced plugins run build scripts on your machine at install time. Only install sources you trust, and pin a commit (github:owner/repo#sha).

README

NoAtMark text hygiene as a DeepSeek Harness (dsh) plugin.

Everything-is-a-plugin: this plugin gives your dsh agent four text-hygiene tools, backed by the same deterministic engines behind noatmark.com.

Tool	What it does
`sanitize_text`	Strip invisible/zero-width characters and flag prompt-injection + hidden-text signals.
`scan_text`	Report invisible characters (with code points + positions), injection patterns, and hidden text.
`clean_format`	Clean LLM formatting artifacts (blank lines, stray fences, trailing spaces) — meaning untouched.
`sanitize_csv`	Escape CSV formula injection (OWASP): `= + - @` prefixes get a leading quote.

All processing is deterministic and local — no data leaves your machine.

Add this plugin to your dsh Web UI. If you're running from a source checkout, use a cordis.yml patch:

- insert:
    - id: noatmark
      name: noatmark-dsh-plugin

or point at the source directly (absolute path):

- insert:
    - id: noatmark
      name: '/path/to/noatmark-dsh-plugin/src/index.ts'

Start dsh with the patch:

npx @deepseek-ai/dsh web --patch ./cordis.yml

In a dsh session, ask the agent to use a tool, e.g.:

Sanitize this pasted text before you summarize it.

Scan this file for invisible characters.

Clean the formatting of this AI output.

Escape this CSV before saving it.

pnpm install
pnpm build   # tsc -> dist/

MIT