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-deep-search)<a href="https://agentmods.dev/commands/ssmurfgg04-gif/context-m/aminer-deep-search"><img src="https://agentmods.dev/badge/commands/ssmurfgg04-gif/context-m/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/commands/ssmurfgg04-gif/context-m/aminer-deep-search"><img src="https://agentmods.dev/badge/commands/ssmurfgg04-gif/context-m/aminer-deep-search.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 | $0.00010 | $0.00558 |
| Opus 5 | $0.00005 | $0.00279 |
| Sonnet 5 | $0.00002 | $0.00112 |
| Haiku 4.5 | $0.00001 | $0.00056 |
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 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-deep-search — 26 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/aminer-deep-search - AMiner Deep Search
User invoked the AMiner deep paper collection skill with the following arguments:
$ARGUMENTS
Your task
Follow ${CLAUDE_PLUGIN_ROOT}/SKILL.md. You are the controller: run the tool scripts, read their JSON output, judge relevance yourself, and iterate. There is no external LLM mode and nothing to configure beyond AMINER_API_KEY.
Use this command only for deep survey-style paper collection, not for simple paper lookup or lightweight recommendations.
1. Parse $ARGUMENTS
topic: required research topic. Preserve the user's wording. If absent or too vague, ask for a concrete topic.target-size: optional final paper target, default 400.max-rounds: optional round budget, default 12.
2. Pre-flight
[ -z "${AMINER_API_KEY:-}" ] && echo "AMINER_API_KEY missing" || echo "AMINER_API_KEY exists"
If missing, stop and tell the user to set AMINER_API_KEY. Never print the key. The scripts are pure stdlib — no dependency installation is needed.
3. Run the round protocol
Execute the Round Protocol from ${CLAUDE_PLUGIN_ROOT}/SKILL.md:
- Round 0: derive 4–8 seed queries, estimate cost; confirm with the user if the estimate is ≥¥5.
- Each round (max
max-rounds): search viapython3 "${CLAUDE_PLUGIN_ROOT}/scripts/aminer_api.py" search --query "..." --order n_citation, filter results for relevance yourself, add the kept items viapython3 "${CLAUDE_PLUGIN_ROOT}/scripts/paper_set.py" add, snowball withreferences --ids ...on ≤5 strong unexpanded seeds, and checkstats. - Stop when
target-sizeis reached, results are exhausted, or 2 consecutive rounds add <5 papers.
Keep the state file and exports under the current working directory (outputs/).
4. Present the result
Run export and report the final paper count, the total cost (sum of [cost] stderr lines), and the output path. If the run fails due to missing configuration or API errors, show the actionable error without exposing secrets. Never fabricate papers.
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 · 52 lines · 10 tokens per session scan A d19fb74efaee
aminer-deep-search is a command published in the GitHub repository ssmurfgg04-gif/context-m (1 stars, last pushed yesterday), licensed Apache-2.0. It adds 10 tokens to every session and 558 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to aminer-deep-search, differing in 26 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.