SKILLEMALL.ai

AF paper-reading-problem-reality-check

Use when the user wants to stress-test whether one selected Research Question Card's problem is real, evidence-backed, externally grounded, safely motivated, and worth keeping as a research motivation.

ClawHub Agent Skills author: Zhang Yifan v0.1.0 MIT-0 2 files body ≈ 3 179 tokens Open the sourceclawhub.ai analyzed 35 h ago

Use when the user wants to stress-test whether one selected Research Question Card's problem is real, evidence-backed, externally grounded, safely motivated…

As a process F 49/100 · Will not run — References files that are not bundled: references/source-card-template.md, references/workspace-structure.md, references/source-research-questions-template.md

ProcedureData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
49/100
Will not run
References files that are not bundled: references/source-card-template.md, references/workspace-structure.md, references/source-research-questions-template.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

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

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/source-card-template.md
  • warning missing-ref reference to a missing file: references/workspace-structure.md
  • warning missing-ref reference to a missing file: references/source-research-questions-template.md
  • warning missing-ref reference to a missing file: references/interrogation-transcript-template.md
  • warning missing-ref reference to a missing file: references/problem-reality-check-report-template.md
  • warning missing-ref reference to a missing file: references/problem-reality-checks-summary-template.md
  • note edit-residue the text marks something as outdated (lines 15): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: references/source-card-template.md, references/workspace-structure.md, references/source-research-questions-template.md
  • 0Tools and files. 6 referenced file(s) missing: references/source-card-template.md, references/workspace-structure.md, references/source-research-questions-template.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 mutating operations with no state check
  • 40Consistency. Frontmatter name (paper-reading-problem-reality-check) differs from the folder (03-problem-reality-check)
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Failures and branches. 9 branches
  • 100Steps. 115 steps
  • 100Execution cost. Instruction body is 3179 tokens
  • low 13 top-level sections: this looks like several domains in one skill

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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 201: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 115 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

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

External checks

ClawHub: clean
This skill is a structured research-review workflow that reads local research notes and writes clearly scoped markdown review files.
LLM: benign (high) · VirusTotal: · 24 Jun 2026