SKILLEMALL.ai

BF superthink

Deep-dive research and analysis engine. Triggered by /superthink. Runs an interrogate flow to narrow topic and scope, then executes a 4-stage fully automatic pipeline: (1) master reasoning brief via Opus, (2) parallel deep-dive sections via Sonnet batch, (3) synthesis pass producing ~60,000 word document via Sonnet batch, (4) executive brief ~3,000 words via Sonnet batch. Fully hands-off after scope confirmation. Each stage uses an idempotent self-terminating cron poller. Requires the interrogate skill.

ClawHub Agent Skills author: inxan3 v1.0.1 MIT-0 4 files body ≈ 4 638 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 51/100 · Will not run — References files that are not bundled: scripts/batch-worker-spec.md, scripts/md2docx-spec.md

AnalyzerWordInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
99
Quality 40%
62
Run on models
none yet
Process rating
F
51/100
Will not run
References files that are not bundled: scripts/batch-worker-spec.md, scripts/md2docx-spec.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Instruction override en-ignore-previous batch-worker-spec.md.md:113
    Instruction-override phrase ("ignore previous instructions") (test fixture / example file; quoted — discussed, not commanded)
    "system": "Override system prompt for this request only",
    fixturequoted

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/batch-worker-spec.md
  • warning missing-ref reference to a missing file: scripts/md2docx-spec.md
  • note frontmatter-key unknown frontmatter key "requires"

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: scripts/batch-worker-spec.md, scripts/md2docx-spec.md
  • 0Tools and files. 2 referenced file(s) missing: scripts/batch-worker-spec.md, scripts/md2docx-spec.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 4638 tokens
  • 100Steps. 57 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 508: enough signal without eating the budget
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 57 items
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: clean
SuperThink is a disclosed research automation skill; its main risks are expected data sharing, cost, local retention, and optional notifications rather than hidden behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026