SKILLEMALL.ai

AC bear-gzhaike-work-reporter

协助团队成员(小伙伴们)整理每日工作内容并生成日报、周报、月报,同时在第二天提醒未完成的任务。适用场景:用户说"帮我整理今天的工作"、"出本周周报"、"生成本月月报"、"有什么待完成的事项"等。This skill should be used when the user wants to summarize daily work, generate weekly or monthly reports, or be reminded of pending tasks.

ClawHub Agent Skills author: beargzhaike v1.0.0 MIT-0 3 files body ≈ 602 tokens Open the sourceclawhub.ai analyzed 35 h ago

协助团队成员(小伙伴们)整理每日工作内容并生成日报、周报、月报,同时在第二天提醒未完成的任务。适用场景:用户说"帮我整理今天的工作"、"出本周周报"、"生成本月月报"、"有什么待完成的事项"等。This skill should be used when the user wants to summarize…

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorData and analyticstype 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
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "agent_created"

    Process rating: all ten parameters 55/100

    • 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
    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (bear-gzhaike-work-reporter) differs from the folder (haike-work-reporter)
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 25 steps
    • 100Execution cost. Instruction body is 602 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

    • +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
    • +5Description quotes 3 example trigger phrases
    • +3Description length 236: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 25 items
    • +4Has examples (7 code blocks)

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

    External checks

    ClawHub: suspicious
    This skill is disclosed as a work-report helper, but it instructs silent screenshot-based activity tracking and automatic report delivery with weak consent and control boundaries.
    LLM: suspicious (high) · VirusTotal: · 6 Jun 2026