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CD Bittensor Subnet 85 "Vibe Miner" Skill

Guides users through setting up profitable video processing miners on Bittensor Subnet 85:

modbender/skill-library-mcp Agent Skills author: modbender MIT 11 files · 6 scripts body ≈ 1 483 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Guides users through setting up profitable video processing miners on Bittensor Subnet 85:

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, consistency

ProcedureAI and agentsMedia and videotype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
66/100
safety, quality, tests
Safety 60%
74
Quality 40%
53
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
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.

Dangerous commands 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 skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 6

✓ No critical or high findings

Medium and low: 6
  • medium Dangerous commands cmd-privilege docs/TROUBLESHOOTING.md:190
    Privilege escalation / world-writable permissions
    sudo mv video2x /usr/local/bin/
  • medium Dangerous commands cmd-privilege docs/TROUBLESHOOTING.md:191
    Privilege escalation / world-writable permissions
    sudo chmod +x /usr/local/bin/video2x
  • medium Dangerous commands cmd-privilege docs/TROUBLESHOOTING.md:310
    Privilege escalation / world-writable permissions
    sudo chmod 600 /swapfile
  • medium Dangerous commands cmd-privilege scripts/install.sh:79
    Privilege escalation / world-writable permissions
    sudo mv video2x /usr/local/bin/
  • medium Dangerous commands cmd-privilege scripts/install.sh:80
    Privilege escalation / world-writable permissions
    sudo chmod +x /usr/local/bin/video2x
  • low Risky intent intent-wallet-secrets scripts/register.sh:24
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (quoted — discussed, not commanded)
    echo "⚠️  IMPORTANT: Save your mnemonic phrase securely!"
    quoted

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 49/100

  • 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
  • 30Running it twice. 3 mutating operations with no state check
  • 40Consistency. Frontmatter name (Bittensor Subnet 85 "Vibe Miner" Skill) differs from the folder (bittensor-sn85-vibe-miner)
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 78 steps, 1 vague phrases
  • 100Execution cost. Instruction body is 1483 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 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)
  • +3Description length 90: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • -32 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 78 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.