SKILLEMALL.ai

CF yoinkit

Search, analyze, and transcribe content across 13 social platforms — trending topics, video transcripts, post metadata, and multi-platform research workflows.

ClawHub Agent Skills author: Michael Waltman v1.0.8 20 files · 6 scripts body ≈ 1 831 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 49/100 · Will not run — References files that are not bundled: assets/yoinkit-logo.png

AnalyzerInfrastructureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
C
60/100
safety, quality, tests
Safety 60%
55
Quality 40%
68
Run on models
none yet
Process rating
F
49/100
Will not run
References files that are not bundled: assets/yoinkit-logo.png
Tools and files w 18
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 9

✓ No critical or high findings

Medium and low: 9
  • medium Exfiltration net-credential-use scripts/content.sh:64
    Credential used in a network call (verify the destination is the intended service)
    RESPONSE=$(curl -s -H "Authorization: Bearer $YOINKIT_API_TOKEN" \
  • medium Exfiltration net-credential-use scripts/feed.sh:124
    Credential used in a network call (verify the destination is the intended service)
    RESPONSE=$(curl -s -H "Authorization: Bearer $YOINKIT_API_TOKEN" \
  • medium Exfiltration net-credential-use scripts/research.sh:70
    Credential used in a network call (verify the destination is the intended service)
    SEARCH_RESPONSE=$(curl -s -H "Authorization: Bearer $YOINKIT_API_TOKEN" \
  • medium Exfiltration net-credential-use scripts/research.sh:86
    Credential used in a network call (verify the destination is the intended service)
    TRENDING_RESPONSE=$(curl -s -H "Authorization: Bearer $YOINKIT_API_TOKEN" \
  • medium Exfiltration net-credential-use scripts/research.sh:90
    Credential used in a network call (verify the destination is the intended service)
    TRENDING_RESPONSE=$(curl -s -H "Authorization: Bearer $YOINKIT_API_TOKEN" \
  • medium Exfiltration net-credential-use scripts/research.sh:118
    Credential used in a network call (verify the destination is the intended service)
    TRANSCRIPT_RESPONSE=$(curl -s -H "Authorization: Bearer $YOINKIT_API_TOKEN" \
  • medium Exfiltration net-credential-use scripts/search.sh:110
    Credential used in a network call (verify the destination is the intended service)
    RESPONSE=$(curl -s -H "Authorization: Bearer $YOINKIT_API_TOKEN" \
  • medium Exfiltration net-credential-use scripts/transcript.sh:77
    Credential used in a network call (verify the destination is the intended service)
    RESPONSE=$(curl -s -H "Authorization: Bearer $YOINKIT_API_TOKEN" \
  • medium Exfiltration net-credential-use scripts/trending.sh:97
    Credential used in a network call (verify the destination is the intended service)
    RESPONSE=$(curl -s -H "Authorization: Bearer $YOINKIT_API_TOKEN" \

Files scanned: 20. 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: assets/yoinkit-logo.png

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: assets/yoinkit-logo.png
  • 0Tools and files. 1 referenced file(s) missing: assets/yoinkit-logo.png
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 41 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1831 tokens
  • low The response is described with custom markup (6 tags): a typed call is more reliable

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)
  • -2localhost URLs: will not work for another user
  • -36 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 158: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 41 items
  • +3Output format is stated explicitly
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

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

External checks

ClawHub: clean
Yoinkit is a coherent social-media research skill that sends user-provided social URLs, handles, and search topics to the Yoinkit API as expected for its purpose.
LLM: benign (high) · VirusTotal: benign · 28 May 2026