SKILLEMALL.ai

BF perplexity-downloader

Download and save Perplexity.ai conversations as individual Markdown files. One thread = one .md file. Processes threads sequentially. Supports single thread, URL lists, or full history export. Triggers on "download perplexity thread", "export perplexity history", "save all perplexity threads", or any request to capture Perplexity conversations.

ClawHub Agent Skills author: Jeff Yang v1.0.0 MIT-0 2 files body ≈ 1 676 tokens Open the sourceclawhub.ai analyzed 2 d ago

Download and save Perplexity.ai conversations as individual Markdown files. One thread = one .md file. Processes threads sequentially. Supports single thread…

As a process F 59/100 · Will not run — References files that are not bundled: URL, 260423-how-to-learn-python.md, 260423-best-practices-for-rest-apis.md

ProcedureDockerKubernetesSoftware developmentInfrastructureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
F
59/100
Will not run
References files that are not bundled: URL, 260423-how-to-learn-python.md, 260423-best-practices-for-rest-apis.md
Tools and files w 18
0
Running it twice w 4
30
Failures and branches w 10
50
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 · 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 description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: URL
  • warning missing-ref reference to a missing file: 260423-how-to-learn-python.md
  • warning missing-ref reference to a missing file: 260423-best-practices-for-rest-apis.md
  • warning missing-ref reference to a missing file: 260423-docker-vs-kubernetes.md
  • warning missing-ref reference to a missing file: perplexity-thread-001.md
  • warning missing-ref reference to a missing file: perplexity-thread-002.md
  • warning missing-ref reference to a missing file: perplexity-thread-003.md

Process rating: all ten parameters 59/100

Will not run. References files that are not bundled: URL, 260423-how-to-learn-python.md, 260423-best-practices-for-rest-apis.md
  • 0Tools and files. 7 referenced file(s) missing: URL, 260423-how-to-learn-python.md, 260423-best-practices-for-rest-apis.md
  • 30Running it twice. 5 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 41 steps, 2 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1676 tokens
  • 100Progress reporting. Reports progress

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)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 347: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 41 items
  • +3Output format is stated explicitly
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
This skill is a coherent Perplexity archive tool, but its full-history mode can collect and save a large amount of private conversation data with limited privacy warning or scoping.
LLM: suspicious (high) · 8 Aug 2026