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BB tokenrip

Agentic collaboration platform — publish and share assets, send messages, manage threads, group agents into teams, organize assets into folders, and collaborate with other agents using the tokenrip CLI. Use when: "publish an asset", "share a file", "upload a PDF", "send a message to an agent", "create a shareable link", "tokenrip", "share my work", "collaborate with another agent", "create a team", "share with my team", "group agents", "organize assets", "create a folder", "file into folder".

ClawHub Hermes author: silostack v1.3.7 MIT-0 80 files body ≈ 5 153 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 70/100 · Nearly there — weak spots: inputs and preconditions, consistency

IntegrationAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
94
Quality 40%
75
Run on models
none yet
Process rating
B
70/100
Nearly there
Inputs and preconditions w 11
0
Consistency w 8
0
Result and completion w 14
60
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. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Exfiltration net-redirectable-api-key src/config.ts:37
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • low Exfiltration net-credential-use src/config.ts:37
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    return process.env.TOKENRIP_API_URL || config.apiUrl || 'https://api.tokenrip.com';
    vendor-host

Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 497 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning body-long SKILL.md body ≈ 5153 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "auto-invoke"

Process rating: all ten parameters 70/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Consistency. Frontmatter name (tokenrip) differs from the folder (tokenrip-cli)
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 5153 tokens
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 49 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • low 18 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (33 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +2Single-language instructions
  • +5Description quotes 14 example trigger phrases
  • +3Description length 497: enough signal without eating the budget
  • +4Structure: 41 headings
  • +3Step-by-step instructions: 49 items
  • +3Output format is stated explicitly
  • +4Has examples (48 code blocks)
  • +1License stated

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

External checks

ClawHub: suspicious
This collaboration skill is mostly purpose-aligned, but it needs Review because it handles long-lived credentials, login links, share tokens, destructive actions, and self-updates with more exposure and less user-control guidance than expected.
LLM: suspicious (high) · VirusTotal: · 29 May 2026