academic-suite-v1
ReviewAudited by ClawScan on May 14, 2026.
Overview
The suite is coherent for academic writing, but it deserves review because its installer can force-install or update many unpinned skills and it may use academic API credentials and saved research state.
Install only if you trust this publisher and the listed dependency skills. Before running the installer, consider reviewing or pinning each dependency and removing --force if you do not want existing skills overwritten. Supply only the API keys and knowledge-base paths needed for the current task, and independently verify all academic outputs.
Publisher note
Complete Academic Research & Writing Suite — One-click installation of the full Academic Pipeline ecosystem with all 8 dependencies
Findings (4)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Installing the suite can replace or update multiple agent skills, potentially changing agent behavior or pulling in unreviewed dependency code.
The installer bulk-installs or force-updates eight dependencies plus the main pipeline without version pins or per-dependency provenance in the reviewed artifacts.
DEPENDENCIES=("ima-skills" "academic-search" ... "integrity_verification_agent") ... clawhub install "$skill" --force ... clawhub install eric-promax/academic-pipeline --forceReview the dependency skills before installing, prefer pinned publisher/version identifiers, and avoid using --force unless you intentionally want to overwrite existing installed skills.
Supplying API keys or knowledge-base paths may grant the pipeline access to private research libraries or external academic services.
The skill may rely on academic service credentials or knowledge-base access, which is expected for literature search but sensitive.
检查 IMA API Key 是否配置 ... Semantic Scholar API ... 在 Stage 1 启动时提供路径
Provide only the credentials and paths needed for the task, use least-privilege tokens where possible, and revoke or rotate keys if no longer needed.
Private research content or intermediate paper context may persist between sessions and be reused when resuming the pipeline.
The workflow can use a user-selected knowledge base and save task state for later reuse, but storage and retention details are not specified.
IMA 知识库路径 — 如"个人知识库/eric/毕业论文" ... 系统会保存状态，下次输入"resume"恢复
Use a narrow knowledge-base path, avoid including unrelated private documents, and check where saved state is stored and how to delete it.
Users may assume citations, data, and authorship presentation are fully safe without independent review.
The artifacts make strong verification claims and include a mandatory 'de-AI' humanizing stage, which could lead users to over-trust outputs or misunderstand academic-integrity tradeoffs.
引用/数据 100% 验证 ... 零问题才能过 ... Stage 10 HUMANIZE ✦ 强制 ✦ (去 AI 化处理)
Independently verify citations, facts, and institutional policy compliance before submitting or publishing generated academic work.