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AC pt-agent

PT/HH/HHClub/HDFans search, stats, config, overview, qBittorrent/downloader status, and direct download handoff. Always load this skill for these private-tracker requests; use its single runtime command and never session_search, probe ports, read raw stores, or guess credentials. Supports fast movie/TV search, account health, secure setup, and default downloader operations. Do not trigger for public torrents, general web search, or unrelated downloads.

ClawHub Agent Skills author: xzu v1.0.0 MIT-0 23 files · 4 scripts body ≈ 3 935 tokens Open the sourceclawhub.ai↗ analyzed 12 d ago

PT/HH/HHClub/HDFans search, stats, config, overview, qBittorrent/downloader status, and direct download handoff.

As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureAI and agentstype 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
A
96/100
safety, quality, tests
Safety 60%
99
Quality 40%
92
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    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 Secrets in code secret-high-entropy-token scripts/pt_runtime.py:1541
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      boundary = "----…0gW"
      quoted

    Files scanned: 23. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note edit-residue the text marks something as outdated (lines 147, 198): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 59/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 6 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 100Steps. 61 steps
    • 100Failures and branches. 3 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3935 tokens
    • 100Progress reporting. Reports progress
    • 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)
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +3Description length 456: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 61 items
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (12 of 12)
    • +3All 4 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: suspicious
    This skill is a disclosed private-tracker and downloader assistant, but it includes broader downloader-control and public-torrent surfaces that users should review before installing.
    LLM: suspicious (high) · VirusTotal: · 11 Jul 2026