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AF call

Call management system with preparation, real-time capture, and follow-up tracking. Use when user mentions phone calls, meetings, conversations, commitments made, or follow-ups needed. Prepares for calls, captures key points and decisions in real-time, tracks action items and commitments, drafts follow-ups, and builds conversation history. All data stored locally.

ClawHub Agent Skills author: agenticio v2.1.0 MIT-0 3 files body ≈ 718 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 35/100 · Will not run — References files that are not bundled: references/preparation.md, references/capture.md, references/commitments.md

GeneratorInfrastructuretype 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%
75
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/preparation.md, references/capture.md, references/commitments.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: 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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/preparation.md
  • warning missing-ref reference to a missing file: references/capture.md
  • warning missing-ref reference to a missing file: references/commitments.md
  • warning missing-ref reference to a missing file: references/followups.md
  • warning missing-ref reference to a missing file: references/history.md
  • warning missing-ref reference to a missing file: references/contacts.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/preparation.md, references/capture.md, references/commitments.md
  • 0Tools and files. 6 referenced file(s) missing: references/preparation.md, references/capture.md, references/commitments.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 7 mutating operations with no state check
  • 100Steps. 16 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 718 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 366: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (5 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This call-management skill is not malicious, but it can read sensitive local call history under broad activation wording that users should review before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026