Academic Composer Upload
v1.0.3Assists in academic writing by sourcing research, generating outlines, expanding essays with citations, and improving style while ensuring citation integrity.
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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OpenClaw
Benign
high confidencePurpose & Capability
Name/description (academic writing, citation support) match the included scripts and resources: scholar.py performs Semantic Scholar metadata queries (network), pipeline.py and measure.py perform local style analysis (spaCy). Declared permissions (network + shell) are proportional to those behaviors.
Instruction Scope
SKILL.md instructs running the included scripts and using the agent's LLM to expand drafts. The skill explicitly requires Source List confirmation and user approval before drafting, and it documents that essay generation may use a remote LLM depending on agent configuration. No instructions attempt to read unrelated system files or send essay content to third parties from the local scripts.
Install Mechanism
There is no remote download/install step in the manifest (instruction-only install). The only dependency is spaCy (requirements.txt) and the user is asked to install the en_core_web_sm model manually. No unusual third-party downloads or opaque URLs are used.
Credentials
The skill requests no environment variables or credentials. The only external access is to api.semanticscholar.org for metadata search, which matches the skill's purpose. No extra tokens/keys or unrelated service credentials are requested.
Persistence & Privilege
Skill is not always-enabled and is user-invocable by default. It does not request to modify other skills or system-wide settings. Its permissions (shell, network) are documented and limited to running bundled scripts and querying Semantic Scholar.
Assessment
This package appears internally consistent with its academic-writing purpose. Before installing, consider: 1) The local scripts are safe and do not exfiltrate essay content, but the agent's LLM may be remote — check your agent's model provider if you need to keep essay text on-device. 2) The skill needs spaCy and the en_core_web_sm model installed manually; failure to install will break local style checks. 3) The skill requires network access to api.semanticscholar.org for source search; if you restrict network access, search will fail. 4) The skill explicitly warns against using outputs to bypass academic integrity—do not submit generated content as your own. If you need higher assurance, inspect the three scripts (scholar.py, pipeline.py, measure.py) yourself; they are short and readable and contain no hidden endpoints or obfuscated code.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.