Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/commands/ssmurfgg04-gif/context-m/aminer-dp)<a href="https://agentmods.dev/commands/ssmurfgg04-gif/context-m/aminer-dp"><img src="https://agentmods.dev/badge/commands/ssmurfgg04-gif/context-m/aminer-dp/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/commands/ssmurfgg04-gif/context-m/aminer-dp"><img src="https://agentmods.dev/badge/commands/ssmurfgg04-gif/context-m/aminer-dp.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 | $0.00000 | $0.00642 |
| Opus 5 | $0.00000 | $0.00321 |
| Sonnet 5 | $0.00000 | $0.00128 |
| Haiku 4.5 | $0.00000 | $0.00064 |
Grade A, and why
aminer-dp 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 10d 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.
This is a copy
100% identical to aminer-dp — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/aminer-dp — AMiner Daily Paper
User invoked the AMiner daily paper recommendation skill with the following arguments:
$ARGUMENTS
Your task
Strictly follow ${CLAUDE_PLUGIN_ROOT}/SKILL.md (English) or ${CLAUDE_PLUGIN_ROOT}/SKILL.zh.md (Chinese). Key rules summarized below — but read the SKILL file if you need detail.
1. Pre-flight
Verify the AMINER_API_KEY env var is set:
[ -z "${AMINER_API_KEY+x}" ] && echo "AMINER_API_KEY missing" || echo "AMINER_API_KEY exists"
If missing, stop and tell the user to set it (token from https://open.aminer.cn). Do not call the script.
2. Parse $ARGUMENTS into structured fields
Extract any of: topics, scholar / author_name, org / author_org, papers, size, language_sort.
Critical rules — do NOT violate:
topics: keep the user's exact wording. If they wrote具身智能, 环境保护, pass those Chinese strings through. Never translate them into unrelated English fields (e.g. don't map them to "Knowledge Distillation" or "Smart agriculture"). If you add an English alias, it must be a faithful translation of the same concept (e.g. 具身智能 → embodied intelligence).language_sort: includezhorenonly when the user explicitly asks for Chinese-/English-biased ranking (e.g. "优先中文论文" / "prefer English papers"). Otherwise omit it entirely.scholar/org: use English-canonical names where reasonable (e.g.Jie Tang,Tsinghua University). If a Chinese name is ambiguous and no org is given, ask the user before guessing.- If
$ARGUMENTSis empty, call the script with no extra fields — the API will return personalized recs based on the API key.
3. Run the entrypoint
Reconstruct the trigger and execute (one call per topic group; ≤3 closely related terms per group):
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/handle_trigger.py" \
--base-dir "${CLAUDE_PLUGIN_ROOT}" \
--text "/aminer-dp <reconstructed fields>"
4. Present the result
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.
- 10d ago First seen · 53 lines · 0 tokens per session scan A e0090b975b1d
aminer-dp is a command published in the GitHub repository ssmurfgg04-gif/context-m (1 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 642 tokens. A static security scan graded it A with 0 findings. It is 100% identical to aminer-dp, differing in 2 lines, and is treated as a copy.
Other commands, from other repositories
start
Start a session — load context + memory and brief yourself on current state.
update
Mid-session checkpoint — save progress without ending the session.
aria
Command "aria" from mikeprasad/aria-knowledge, covering /aria, common actions and codex notes.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.