deepseekplugins

DeepSeek Harness plugin

dsh-skill-impeccable

Bundled Impeccable frontend-design skill provider for DeepSeek Harness

Models & Providers
Jump to install

Source facts

Repository
oThTJx/dsh-skill-impeccable
Latest update
Aug 18, 2026
Category
Models & Providers
GitHub stars
0
Format
plugin
Catalog evidence
Upstream dsh.bundle evidence
Evidence path
package.json#dsh.bundle
Checked against
0.1.0-rc.8
Upstream check date
2026-08-20

This evidence comes from the upstream catalog. This site has not installed, run, or security-reviewed the plugin.

Install

Start with a prompt that asks an agent to review the GitHub repository and source. Switch to the command if you want to install it yourself.

Copy this prompt into DSH, Codex, or another agent and ask it to review the GitHub repository and source first.

Do not install or run any commands yet. Read this plugin's GitHub repository, README, and relevant source code. Then answer the questions below clearly and directly so I can decide whether it fits my needs:

1. What is this plugin, and what problem does it solve?
2. Who is it for, and what are its typical use cases?
3. How is it used after installation? Include one minimal example.
4. What known limitations or privacy, security, compatibility, or maintenance risks does it have?
5. Give a clear recommendation: recommend, conditionally recommend, or do not recommend, with reasons.

Distinguish statements documented by the repository, inferences from source code, and unknowns. If evidence is insufficient, say so explicitly. Do not guess or simply repeat the README.

GitHub: https://github.com/oThTJx/dsh-skill-impeccable
Plugin: dsh-skill-impeccable
Author: oThTJx

Check the source files

Read the README and other files from this plugin directory before installing.

File explorer3 files
README.mdSource · read only
README language

@firefly0621/dsh-skill-impeccable

English | 中文

Optional bundled skill provider that contributes impeccable to ctx.skills. The skill is the dsh-adapted pbakaus/impeccable frontend-design skill tree (skill/SKILL.src.md plus reference/ and scripts/), Apache-2.0; see assets/NOTICE.md and assets/LICENSE-apache-2.0.txt.

Mount the plugin to enable the provider. It has no configuration. This package is not part of the official main dsh-base composition; install it explicitly with dsh plugin add or a custom cordis.patch.yml.

The provider serves the packaged skill/ directory directly as the skill resource base. The install-time {{…}} placeholders are resolved at commit time by scripts/adapt-skill.mjs ({{scripts_path}} becomes <skill-base-dir>/scripts, the command prefix is empty, and {{ask_instruction}} maps to ask_user_question). On load it strips install frontmatter from SKILL.src.md and appends a short harness note. Sub-commands remain the upstream Commands table: load the matching reference/*.md after the main skill body.

Model Experience

Indirectly, through @deepseek-ai/dsh-tool-skill, which renders the catalog entry and selected skill body.

#### KV Cache effect

When mounted, its catalog entry and any loaded body change the provider KV prefix at their insertion points. Setting the composition row to disabled: true removes that effect.

Known Limitations and Deferred Work

  • The provider contributes one fixed skill and has no runtime customization of the command set.
  • Cross-harness capability is removed: the design-hook feature and the per-harness <codex> / <gemini> notes are dropped; dsh runs the detector manually with detect.mjs.
  • Live-browser and detector CLI workflows still depend on the session being able to run the packaged Node scripts against the user project cwd.
  • Upstream sync is manual: re-run scripts/adapt-skill.mjs after pulling a newer release, re-apply the hand dsh prose adaptations listed in that script's header, then review the diff.
Back to searchOpen GitHub repository

More related plugins

View category