AC emergence-deepseek-tui
Use DeepSeek TUI CLI as an autonomous code assistant - two modes: `deepseek exec` (headless, text-in/text-out, no filesystem access) for delegation from another agent, and `deepseek run` (interactive, full tool-calling with filesystem) for direct coding.
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
IntegrationSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
For the model run — optional
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 254 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
Process rating: all ten parameters 51/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
- 60Consistency. The Hermes dialect needs category and tags
- 85Steps. 22 steps, 1 vague phrases
- 100Failures and branches. 1 branches, has a failure section
- 100Execution cost. Instruction body is 1654 tokens
- 100Running it twice. No mutating operations
- low The response is described with custom markup (4 tags): a typed call is more reliable
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +3Description length 254: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 22 items
- +4Has examples (7 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.
External checks
ClawHub: clean
This skill is a transparent guide for using DeepSeek TUI as a coding assistant, including an interactive mode that can edit files and run commands.
LLM: benign (high) · VirusTotal: · 29 May 2026