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 cccakeee/awesome-dsh-plugins --skill dsh-topic-curatorgit clone --depth 1 https://github.com/cccakeee/awesome-dsh-pluginsWrote 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/cccakeee/awesome-dsh-plugins/dsh-topic-curator)<a href="https://agentmods.dev/skills/cccakeee/awesome-dsh-plugins/dsh-topic-curator"><img src="https://agentmods.dev/badge/skills/cccakeee/awesome-dsh-plugins/dsh-topic-curator.svg" alt="Measured on agentmods" 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 | $0.00110 | $0.02020 |
| Opus 5 | $0.00055 | $0.01010 |
| Sonnet 5 | $0.00022 | $0.00404 |
| Haiku 4.5 | $0.00011 | $0.00202 |
Grade A, and why
dsh-topic-curator 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 7d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DSH Topic Curator
Keep data/repositories.csv, data/dsh-plugin-topic-candidates.csv,
data/audit-results.csv, and data/verified-plugins.csv in sync with the GitHub
dsh-plugin topic, adding only genuine, qualifying extensions and respecting the
star floor.
When to use
- The user asks to scan / refresh / sync the
dsh-pluginGitHub topic into the catalog. - The user reports "the topic has new repos" and wants them vetted and merged.
- Periodic catalog maintenance ("继续扫", "再扫一轮").
Workflow
1. Collect topic repos (gh Search API, paginated)
- The
dsh-plugintopic exploded to ~10,600 repos (2026-08; 9923 of them werepushedin 2026-08 alone). It is far too big for WebFetch pagination (~260 pages). - Search API hard cap: every query returns at most 1000 results
(
page=11→ HTTP 422 "Only the first 1000 search results are available"). A singlesort=starsquery therefore only ever sees the top-1000-by-stars — missing the ~9,900 long-tail repos where genuine new small plugins hide. - Full-coverage scan (recommended): use
scripts/full_topic_scan.py. It partitions the topic into disjoint sub-queries (star tiers for>10, then thestars:<=10remainder split bycreated:year through 2024 and month from 2025 onward — single-sidedcreated:YYYY/created:YYYY-MM; an overflowing period is split into its days and a day into 24 adjacent hour buckets) so every leaf is fully retrievable, then dedupes by repo name. Outputs both a rich JSON and adiff_topic.py-compatible{name, stars}list. python3 scripts/full_topic_scan.py --dry-run→ print the partition plan + counts.python3 scripts/full_topic_scan.py --execute→ fetch everything (rate-limited, ~9 min; run Bash withdangerouslyDisableSandbox: true).python3 scripts/full_topic_scan.py --execute --actionable-only→ fetch only the six disjoint>10-star tiers used by the daily curator run.--only ">500,11..20"/--since 2026-06to scope a run.- Writes lean
{name, stars}arrays to/tmp/dsh_topic_full.jsonand/tmp/dsh_topic_repos.json(compat). - Writes
/tmp/dsh_topic_scan_summary.json; continue only whencoverage_okis strictlytrueand bothfailuresandover_capare empty. The summary is invalidated at the start of every run, so never trust an older file.- GOTCHA (measured 2026-08-23): day-level
created:A..Bis END-INCLUSIVE —created:2026-08-13..2026-08-14= 522 + 1702 = both days. Never write a day range with a different END day; query a single day asD..D, a month as single-sidedYYYY-MM, and hours as adjacent bucketsT00..T01, T01..T02, ....
- GOTCHA (measured 2026-08-23): day-level
- Quick top-1000 only (legacy): if you only want the popular slice,
gh api "search/repositories?q=topic:dsh-plugin&sort=stars&order=desc&per_page=100&page=N" --jq '.items[] | {name: .full_name, stars: .stargazers_count}'for N=1..10, thenjq -s . > topic_repos.json. The diff script's star floor makes deeper pages irrelevant for curation. - Dedupe by lowercased name (the topic occasionally repeats a repo).
What ships with it
5 files 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.
- 7d ago First seen · 133 lines · 110 tokens per session scan A 6fd918f22685
dsh-topic-curator is a skill published in the GitHub repository cccakeee/awesome-dsh-plugins (7 stars, last pushed 2d ago), licensed MIT. It adds 110 tokens to every session and 2,020 once invoked, about $0.0006 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 2026-08-31.
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