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AF work-productivity-proactive-agent-workflow-helper

Help users with Validated demand: Agent users show strong demand for Proactive Agent-style workflows on Clawhub. They need practical help fixing bugs, hardening setup and safety, improving reliability, or creating adjacent skills inspired by the same job-to-be-done. This requirement is supported by 12 separate online signals across 3 source families, so it represents broader demand rather than a single isolated request.. Use when a user asks for work-productivity, proactive-agent, proactive, transform, task, or needs a practical workflow, artifact, checklist, analysis, or implementation support for this requirement.

ClawHub Agent Skills author: Kyro v0.20260729.110214 MIT-0 7 files body ≈ 687 tokens Open the sourceclawhub.ai↗ analyzed 28 h ago

Help users with Validated demand: Agent users show strong demand for Proactive Agent-style workflows on Clawhub.

As a process F 41/100 · Will not run — References files that are not bundled: references/requirement-plan.md

ProcedureAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
F
41/100
Will not run
References files that are not bundled: references/requirement-plan.md
Tools and files w 18
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: work-productivity-proactive-agent-workflow-helper (ClawHub)

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/requirement-plan.md

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: references/requirement-plan.md
  • 0Tools and files. 1 referenced file(s) missing: references/requirement-plan.md
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 40Consistency. Frontmatter name (work-productivity-proactive-agent-workflow-helper) differs from the folder (work-productivity-proactive-agent-workflow-helper-010622)
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 16 steps
  • 100Execution cost. Instruction body is 687 tokens

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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 623: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 16 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This is a documentation-only workflow helper with overly broad activation wording, but no evidence of unsafe actions or data access.
LLM: benign (high) · VirusTotal: · 29 Jul 2026