Skills/ClawHub/human-writing-skills

human-writing-skills@0.17.2

VERIFIED· startup only

Publisher claims: "AI text humanizer for de-AI writing, natural rewriting, fiction editing, and novel continuity" Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry ClawHubPublisher whh110112 · publishing for 97 daysInstalls 2,229Last detonated 50 min ago
$clawhub install human-writing-skills
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Coverage

Startup only; authenticated tool behavior not tested.
Tested
server startup over stdio (initialize sent) · every file read, file written and host contacted by what ran
Not tested
the tool list (the server exited before answering) · what the tools do when called with real credentials

Is [email protected] safe to install?

KillerSkills ran it in the KillerSkills honeypot sandbox (2 scenarios; startup only; authenticated tool behavior not tested) on 2026-11-15 and scored it 89/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.

Behavior trace

Honeypot run · 20 s · 2 scenarios · 0 deviations
t+CategoryObserved action
0.0sprocessno install scripts in bundle
20sclaimedstartup only: exited (0) before answering · at process.processTicksAndRejections (node:internal/process/task_queues:103:5) { code: 'ERR_MODULE_NOT_FOUND' } Node.js v22.23.5
20sprocessscript backend runs setup only
20sprocessno install scripts to re-run

Static findings

MEDIUM
Python subprocess execution detectedscripts/verify_dsh_package.py:64 · Python subprocess execution detectedsubprocess.run([sys.executable, "-I", "-X", "utf8", "-c", probe, str(Path(directory) / "package")],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
MCP server using network transport (SSE/HTTP)tests/test_mcp_server.py:12 · MCP server using network transport (SSE/HTTP) — data sent over networkfrom humanwriting.mcp_server import MAX_TEXT_CHARACTERS, TOOLS, _http_handler, call_tool, get_prompt, handle_messageFix: Namespace tool names and keep tool descriptions literal; no instructions to the agent inside them.
AST04
MEDIUM
MCP server using network transport (SSE/HTTP)tests/test_mcp_protocol.py:14 · MCP server using network transport (SSE/HTTP) — data sent over networkfrom humanwriting.mcp_server import MAX_HTTP_BODY_BYTES, _http_handler, call_tool, handle_message, run_stdioFix: Namespace tool names and keep tool descriptions literal; no instructions to the agent inside them.
AST04
MEDIUM
Python subprocess execution detectedscripts/build_skillhub_package.py:56 · Python subprocess execution detectedresult = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05

Cost to the agent

Instructions loaded
≈2,715 tok
1 file · 192 in bundle
Tool list per prompt
≈0 tok
0 tools · 0 per tool
Handshake
no reply
launch to tools/list, stdio
Undocumented tools
0
description under 20 chars · avg 0

Tokens estimated at four characters each. The tool list is re-read by the agent on every turn, so it is the number to compare between servers that do the same job: ranked across the index.

Known vulnerabilities

Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.