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 CanXiangCC/aminer-open-skill --skill aminer-deep-searchgit clone --depth 1 https://github.com/CanXiangCC/aminer-open-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/canxiangcc/aminer-open-skill/aminer-deep-search)<a href="https://agentmods.dev/skills/canxiangcc/aminer-open-skill/aminer-deep-search"><img src="https://agentmods.dev/badge/skills/canxiangcc/aminer-open-skill/aminer-deep-search/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/canxiangcc/aminer-open-skill/aminer-deep-search"><img src="https://agentmods.dev/badge/skills/canxiangcc/aminer-open-skill/aminer-deep-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00234 | $0.03209 |
| Opus 5 | $0.00117 | $0.01605 |
| Sonnet 5 | $0.00047 | $0.00642 |
| Haiku 4.5 | $0.00023 | $0.00321 |
Grade A, and why
aminer-deep-search 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 8d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- aminer-deep-search — 98% identical, 112 lines differ
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AMiner Deep Search
Host-model-driven survey paper collection. You (the model reading this) are the controller: run the tool scripts, read their JSON output, judge relevance yourself, and iterate until the collection target is met.
Routing (read first)
| Task shape | Skill |
|---|---|
| Single lookup answerable by one free API (paper by title, scholar by name, venue/org normalization) | aminer-free-academic |
| Deep analysis of one entity, multi-condition search, or paper collection under ~50 papers | aminer-academic-search |
| Personalized paper recommendations | aminer-daily-paper |
| Large-scale candidate collection (50+ papers), survey bibliography construction, citation snowballing | this skill |
Do not trigger on the words "survey" / "literature review" alone; trigger on the scale of collection the user actually needs.
Pre-flight
- Check the key without printing it:
[ -z "${AMINER_API_KEY:-}" ] && echo "AMINER_API_KEY missing" || echo "AMINER_API_KEY exists"
If missing, stop and ask the user to set AMINER_API_KEY (console: https://open.aminer.cn/open/board?tab=control). Never print the key.
-
Confirm the
topicand thetarget-size(default 400). -
Extract the user's hard constraints — year range, venues, authors, institutions, language, exclusion terms, ranking goal (latest / impact / classic+latest). Record year range and required fields into the state file so
addenforces them mechanically:
python3 scripts/paper_set.py init --topic "..." --year-from 2020 --year-to 2025 --require-fields year
Note: AMiner has no document-type filter (journal / conference / preprint); if the user requires one, say so and fall back to post-hoc venue filtering.
- If your round plan is estimated to cost ¥5 or more, tell the user the estimate and get confirmation before starting.
Tools
Both scripts live in scripts/ under this skill directory. They print exactly one JSON document to stdout (the tool result); diagnostics and a [cost] line go to stderr. They never score relevance — that is your job.
What ships with it
7 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.
- 8d ago Changed · +56 lines · +94 tokens per session 380a6eb42008
- 12d ago First seen · 112 lines · 140 tokens per session scan A 0c0d819407b1
aminer-deep-search is a skill published in the GitHub repository CanXiangCC/aminer-open-skill (60 stars, last pushed 4d ago), licensed MIT. It adds 234 tokens to every session and 3,209 once invoked, about $0.0012 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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