Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add psylch/quark-download-skill --skill quark-downloadgit clone --depth 1 https://github.com/psylch/quark-download-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/psylch/quark-download-skill/quark-download)<a href="https://agentmods.dev/skills/psylch/quark-download-skill/quark-download"><img src="https://agentmods.dev/badge/skills/psylch/quark-download-skill/quark-download/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/psylch/quark-download-skill/quark-download"><img src="https://agentmods.dev/badge/skills/psylch/quark-download-skill/quark-download.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00100 | $0.01814 |
| Opus 5 | $0.00050 | $0.00907 |
| Sonnet 5 | $0.00020 | $0.00363 |
| Haiku 4.5 | $0.00010 | $0.00181 |
Grade A, and why
quark-download scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quark Search — 网盘资源搜索与下载
Automate the full workflow: search resources → validate links → save to Quark cloud drive → download locally, by combining the PanSou aggregation API with the local Quark desktop APP.
All operations use the CLI script at ${SKILL_PATH}/scripts/quark_search.py. It outputs JSON to stdout ({"ok": true, "data": {...}} or {"ok": false, "error": "...", "code": "..."}) and logs progress to stderr.
Prerequisites Check
Before any operation, verify the environment:
python3 ${SKILL_PATH}/scripts/quark_search.py check
Response: {"ok": true, "data": {"isLogin": true, ...}} — confirms APP is running and logged in.
If the command fails with "code": "app_not_running", instruct the user to launch Quark APP. If isLogin is false, instruct the user to log in first.
Workflow — Quick Search (recommended)
A single command searches PanSou, validates all links in parallel, and fetches file details for the top results:
python3 ${SKILL_PATH}/scripts/quark_search.py search "KEYWORD" --top 5
Options:
| Flag | Default | Description |
|---|---|---|
--top N |
5 |
Number of top valid results to return with details |
--no-validate |
off | Skip validation (faster, but may include dead links) |
--limit N |
30 |
PanSou results per page |
--page N |
1 |
PanSou page number |
Success response (ok: true):
{
"ok": true,
"data": {
"keyword": "三体",
"total": 1234,
"valid_count": 8,
"results": [
{
"pwd_id": "abc123def",
"url": "https://pan.quark.cn/s/abc123def",
"note": "三体全集 4K",
"source": "plugin:libvio",
"datetime": "2025-01-15",
"stoken": "xxx",
"detail": {
"pwd_id": "abc123def",
"pdir_fid": "0",
"total": 3,
"list": [
{"file_name": "三体S01E01.mkv", "size": 4294967296, "dir": false, "fid": "f1"},
{"file_name": "Extras", "size": 0, "dir": true, "fid": "f2", "include_items": 5}
]
}
}
]
}
}
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 174 lines · 100 tokens per session scan A ee86f2837ec8
quark-download is a skill published in the GitHub repository psylch/quark-download-skill (11 stars, last pushed 6mo ago), licensed MIT. It adds 100 tokens to every session and 1,814 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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