Install
$ agentstack add skill-memtensor-skills-vote-skills-vote Open-source listing, not yet scanned by AgentStack. Follow the source repository for install instructions.
Security review
⚠ Flagged1 finding(s); flagged for manual review. · v0.1.0 How review works →
- • Prompt-injection patterns
- • Secret / credential exfiltration
- • Dangerous shell & filesystem operations
- • Untrusted network calls
- • Known-malicious package signatures
- high Pipes remote content directly into a shell (remote code execution).
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Skill Discovery And Feedback
Read only this file first. Do not read scripts/ or any other files in this skill unless this file or a script output explicitly tells you to do so.
Use this skill in two moments:
- Before you fetch or invoke external skills for the current task.
- After the task is effectively done, to report what skills were actually useful.
Skip this skill if you are not considering any external skills at all.
All paths mentioned in this file are relative to this skill root. cd to this root directory before running any command here.
Preconditions
Before using this skill, ensure that:
SKILLS_VOTE_API_KEYis set in the environmentuvis installed and available onPATH- the runtime can execute local scripts with
uv run GITHUB_TOKENorGH_TOKENmay be needed later if GitHub blocks skill downloads because the repo is private or rate-limited
- Confirm
SKILLS_VOTE_API_KEYis set:
- macOS or Linux:
bash scripts/check_api_key.sh - Windows PowerShell:
powershell -ExecutionPolicy Bypass -File scripts/check_api_key.ps1
- Verify that
uvis installed:uv -V - If
uvis missing, install it from the official docs.
- macOS or Linux:
- If curl is available,
curl -LsSf https://astral.sh/uv/install.sh | sh - Otherwise
wget -qOhttps://astral.sh/uv/install.sh | sh - Windows PowerShell:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
- Verify again:
uv -V
Recommend
Request schema
recommend.py accepts one JSON object with these fields:
query (str): A standalone, explicit, and retrieval-optimized description of the user's task. Rewrite the original request to improve clarity, specificity, and usefulness for search, retrieval, or downstream planning. When appropriate, include reasonable implied constraints, likely substeps, supporting tasks, or candidate approaches that are directly relevant to completing the task. Favor expansions that make the task easier to retrieve against or execute, but avoid adding weakly supported assumptions, unrelated details, or excessive verbosity. For example, if the original query is "make a video," the rewritten query may expand it into a fuller task such as planning the content, identifying the audience, drafting a script, preparing slides, designing charts or visual assets, considering animation tools like Manim, recording narration, editing the final video, and rehearsing delivery.
client_name(Literal["codex", "codex-app", "claude-code", "cursor", "gemini-cli", "openclaw-cli", "opencode"] | None = None): Name of this agent. If unknown/unverified or not listed, omit the field or returnnull.client_version(str | None = None): Version of this agent. Prefer the exact version string reported by the client itself. If unknown/unverified, omit the field or returnnull.download_dir(str = ".skills_vote/"): Directory to download recommended skills into. Relative paths are resolved from the current working directory. The path must be writable from the current runtime.
Example
Before sending the request, try to identify the client_name and client_version from the executable or CLI when possible. If no command exists to extract the version and it cannot be retrieved from the environment (e.g., some desktop apps), omit these fields.
| client_name | client_version | command | output | | :-: | :-: | :-: | :-: | | openclaw-cli | 2026.3.24 | openclaw -v | OpenClaw 2026.3.24 (cff6dc9) | | codex | 0.117.0 | codex -V | codex-cli 0.117.0 | | codex-app | 26.325.21221 | N/A | N/A | | claude-code | 2.1.85 | claude -v | 2.1.85 (Claude Code) | | cursor | 2.6.13 | cursor -v | 2.6.13 | | gemini-cli | 0.35.1 | gemini -v | 0.35.1 | | opencode | 1.3.0 | opencode -v | 1.3.0 |
Next, run recommend.py exactly once with one JSON object on stdin via EOF. Do not pass prose around the JSON, multiple JSON objects, or extra shell flags.
recommend.py may take around 5 minutes end to end. You must wait for it to finish completely and must not do other work before it exits. If you need progress, keep watching stdout until the command finishes.
uv run -qq scripts/recommend.py <<'EOF'
{
"query": "Add integration tests for a FastAPI skill recommendation flow, mock the gateway, and verify the returned skills and feedback flow.",
"client_name": "codex",
"client_version": "0.117.0",
"download_dir": ".skills_vote/"
}
EOF
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: MemTensor
- Source: MemTensor/skills-vote
- License: MIT
- Homepage: https://skills.vote
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.