harmony
Repository: harmony
Author: openai · Source status: Clear source
Renderer for the harmony response format to be used with gpt-oss
Score basis:Clear source · Risk needs review · Universal
Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Comparison matrix
Highlights show current best; tooltip explains diff/best rules.
SAS-v2.1 diff rules / risk tag notes
Start with the matrix. Open this section when you need to understand audit grades, top threats, control gaps, and best-value highlights.
Suggested baseline
Search to add skills, or paste 2–4 comma-separated slugs.
How differences are detected
A row is marked different when selected skills have distinct values. Only-differences mode hides rows that are identical.
How best values are highlighted
Audit score, evidence confidence, trust score, and community signal prefer higher values; execution risk and install friction prefer lower values.
How to read risk tags
Risk tags come from SAS-v2.1 public-evidence signals and point to command, network, secret, context, or supply-chain items to review before install.
Selected audit signals
security-ownership-map
Execution risk:High
Threat tags:data exfiltration, human approval gap
Control gaps:missing license, broad permissions, network without allowlist
Lidarr
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, broad permissions, shell without guardrails
openai-cookbook
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | security-ownership-map | Lidarr | openai-cookbook |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Audit grade | C · Review first | C · Review first | C · Review first |
Execution risk | High | High | High |
Threat tags | data exfiltration, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, data exfiltration, human approval gap |
Control gaps | missing license, broad permissions, network without allowlist | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command | Permission review, Network, Command |
Evidence confidence | 67% | 67% | 65% |
| Source & provenance | |||
Provenance | openai/skills/tree/main/skills/.curated/security-ownership-map | openclaw/skills | openai/openai-cookbook |
Category | Data & Analytics | Knowledge & RAG | Automation & Workflows |
Freshness | |||
| Risk & trust | |||
Trust score | 82 | 81 | 92 |
Audit signals | writes files | needs credentials, network access, runs shell, writes files | metadata-only |
| Install & compatibility | |||
Supported tools | Claude, Codex, Cursor, Universal | Universal | Universal |
Install method | registry-install | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 7.3K | 0 | 72.7K |
Repository: openai-realtime-console
Author: openai · Source status: Clear source
React app for inspecting, building and debugging with the Realtime API
Score basis:Clear source · Risk needs review · Universal
Repository: human-eval
Author: openai · Source status: Clear source
Code for the paper "Evaluating Large Language Models Trained on Code"
Score basis:Clear source · Risk needs review · Universal
Repository: gpt-discord-bot
Author: openai · Source status: Clear source
Example Discord bot written in Python that uses the completions API to have conversations with the `text-davinci-003` model, and the moderations API to filter the messages.
Score basis:Clear source · Risk needs review · Universal
2026-02-11 |
2026-04-02 |
2026-04-14 |
Permission hints |
|---|
registry access, remote metadata pull, runtime dependencies may be required |
verify source provenance before install |
repository clone |
50 |
65 |
75 |