CtrlK
BlogDocsLog inGet started
Tessl Logo

add-atomic-chat-tool

Add Atomic Chat MCP server so the container agent can call local models served by the Atomic Chat desktop app via its OpenAI-compatible API.

64

Quality

76%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./.claude/skills/add-atomic-chat-tool/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

88%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is highly actionable with concrete code edits, a clear phased workflow, and explicit validation checkpoints. The only weaker spot is progressive disclosure, where the monolithic SKILL.md could split some reference material into clearly signaled separate files.

Suggestions

Consider moving the .env.example stub catalog and the detailed troubleshooting matrix into a referenced file signaled from SKILL.md to improve progressive disclosure.

Trim the rationale prose around the contributed-lane env spread to the essential one-liner to tighten conciseness.

DimensionReasoningScore

Conciseness

Mostly lean code blocks and commands with prose limited to non-obvious codebase-specific wiring (the contributed lane, the shared stderr block); a few sentences could be trimmed but it does not explain concepts Claude already knows.

4 / 5

Actionability

Copy-paste bash and TypeScript diffs with exact find/replace anchors and specific commands throughout; fully executable and covers the common cases.

5 / 5

Workflow Clarity

Phases 1-4 are clearly sequenced with an explicit validation checkpoint ('Validate code changes', 'All must be clean before proceeding') and a dedicated Verify phase, satisfying the feedback-loop requirement for the code/container rebuild.

5 / 5

Progressive Disclosure

Well-sectioned by phases with the full MCP server source shipped as separate bundled .ts files (referenced via cp) and only wiring diffs inlined; falls short of 5 because the SKILL.md body itself is fairly monolithic with no explicit 'See X' reference signaling.

4 / 5

Total

18

/

20

Passed

Description

65%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific and clearly distinct, but lacks an explicit 'when to use' trigger clause, which the rubric caps at completeness 3. Adding a 'Use when...' clause would lift the weakest dimension.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user wants to call local models hosted in the Atomic Chat desktop app from the container agent.'

Mention the concrete exposed tools (list models, generate) to raise specificity toward comprehensive coverage.

DimensionReasoningScore

Specificity

Names the domain and two concrete actions ('Add Atomic Chat MCP server', 'call local models ... via its OpenAI-compatible API') but is not comprehensive — it omits the list/generate tool actions the skill actually exposes.

3 / 5

Completeness

The 'what' is clear, but there is no 'Use when...' or equivalent explicit trigger guidance, which the rubric caps at 3.

3 / 5

Trigger Term Quality

Good niche keyword coverage with natural terms ('Atomic Chat', 'local models', 'MCP server', 'OpenAI-compatible API'); falls short of 5 only because the product-specific niche leaves little room for the synonym/extension coverage a 5 requires.

4 / 5

Distinctiveness Conflict Risk

Targets a distinct named product (Atomic Chat) with minimal overlap risk against other skills.

5 / 5

Total

15

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
nanocoai/nanoclaw
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.