SKILLEMALL.ai

AF paper-reading-theoretical-grounding

Use when the user has a research problem but needs theoretical foundations, conceptual lineage, or research traditions that support the problem framing.

ClawHub Agent Skills author: Zhang Yifan v0.1.0 MIT-0 2 files body ≈ 4 558 tokens Open the sourceclawhub.ai analyzed 31 h ago

Use this skill to run a Theoretical Grounding Workflow: route to exactly one Research Question Card and its completed Problem Reality Check Report, decompose…

As a process F 54/100 · Will not run — References files that are not bundled: references/source-problem-template.md, references/workspace-structure.md, references/source-research-question-checks-template.md

ProcedureData and analyticstype 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
54/100
Will not run
References files that are not bundled: references/source-problem-template.md, references/workspace-structure.md, references/source-research-question-checks-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-problem-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-question-checks-template.md
  • warning missing-ref reference to a missing file: references/problem-theory-decomposition-template.md
  • warning missing-ref reference to a missing file: references/theory-hooks-template.md
  • warning missing-ref reference to a missing file: references/candidate-theoretical-traditions-template.md
  • warning missing-ref reference to a missing file: references/selected-theoretical-traditions-template.md
  • warning missing-ref reference to a missing file: references/theoretical-grounding-report-template.md
  • warning missing-ref reference to a missing file: references/theoretical-groundings-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 54/100

Will not run. References files that are not bundled: references/source-problem-template.md, references/workspace-structure.md, references/source-research-question-checks-template.md
  • 0Tools and files. 9 referenced file(s) missing: references/source-problem-template.md, references/workspace-structure.md, references/source-research-question-checks-template.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 40Consistency. Frontmatter name (paper-reading-theoretical-grounding) differs from the folder (04-theoretical-grounding)
  • 60Result and completion. Output format stated, no completion criterion
  • 70Failures and branches. 9 branches
  • 70Execution cost. Instruction body is 4558 tokens
  • 100Steps. 168 steps
  • 100When it triggers. States when to use and when not to
  • 100Running it twice. Mutating operations check current state
  • low 18 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 152: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 168 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 is a research-writing workflow skill that reads and writes local research notes in a disclosed workspace and shows no hidden code, credential use, or destructive behavior.
LLM: benign (high) · VirusTotal: · 24 Jun 2026