SKILLEMALL.ai

AC knowledge-base-high-value-report-ppt

Create evidence-based, management-ready workplace report presentations from personal knowledge bases, work records, project files, meeting notes, resumes, spreadsheets, images, drafts, and corporate PPT templates. Use for 试用期述职、转正汇报、晋升答辩、项目汇报、方案汇报、年终总结、复盘、规划和资源申请,尤其适合必须先读取模板要求、区分已完成成果与当前进度、形成PPT战略SPEC与大纲、经用户确认后再生成PPTX并执行逐页视觉验收的任务。

ClawHub Agent Skills author: BZ-AI v1.0.1 MIT-0 8 files body ≈ 656 tokens Open the sourceclawhub.ai analyzed 2 d ago

Create evidence-based, management-ready workplace report presentations from personal knowledge bases, work records, project files, meeting notes, resumes…

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorData and analyticsPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
C
54/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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: 1. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 54/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 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
    • 40Result and completion. Does not say what the result is
    • 40Consistency. Frontmatter name (knowledge-base-high-value-report-ppt) differs from the folder (zhichang-shuzhi-ppt-assistant-codex)
    • 100Tools and files. No external tools needed
    • 100Steps. 56 steps
    • 100Execution cost. Instruction body is 656 tokens
    • 100Running it twice. No mutating operations

    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 332: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 56 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This skill is a disclosed PPT-generation assistant that reads user-provided or user-authorized work materials to build evidence-based reports, with no artifact-backed signs of exfiltration, persistence, or destructive behavior.
    LLM: benign (high) · VirusTotal: · 13 Jul 2026