Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add hideki5123/agent-skill-set --skill openai-cligit clone --depth 1 https://github.com/hideki5123/agent-skill-setWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/hideki5123/agent-skill-set/openai-cli)<a href="https://agentmods.dev/skills/hideki5123/agent-skill-set/openai-cli"><img src="https://agentmods.dev/badge/skills/hideki5123/agent-skill-set/openai-cli/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hideki5123/agent-skill-set/openai-cli"><img src="https://agentmods.dev/badge/skills/hideki5123/agent-skill-set/openai-cli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00390 | $0.03305 |
| Opus 5.5 | $0.00156 | $0.01322 |
| Sonnet 5.5 | $0.00078 | $0.00661 |
| Haiku 4.5 | $0.00039 | $0.00331 |
Grade C, and why
openai-cli scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- `mise` missing → instruct platform install and stop. macOS: `brew install mise`. Linux: `curl https://mise.run | sh`. Windows: `winget install jdx.mise`. Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- `mise` missing → instruct platform install and stop. macOS: `brew install mise`. Linux: `curl https://mise.run | sh`. Windows: `winget install jdx.mise`. The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
17 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/lib/preflight.ts 1.7 KB runs code
- assets/lib/resolveModel.ts 7.7 KB runs code
- assets/lib/setup.ts 4.1 KB runs code
- assets/mise.toml 19 B
- references/advanced.md 5.3 KB
- references/audio.md 4.7 KB
- references/chat.md 4.1 KB
- references/embeddings.md 3.5 KB
- references/error-handling.md 4.1 KB
- references/files-and-batches.md 4.3 KB
- references/images.md 3.3 KB
- references/models.md 5.7 KB
- references/moderations.md 2.4 KB
- references/reasoning.md 3.4 KB
- references/responses.md 4.1 KB
- references/security.md 4.6 KB
- references/setup.md 5.0 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 222 lines · 390 tokens per session scan C f3ad9d61ca44
openai-cli is a skill published in the GitHub repository hideki5123/agent-skill-set (2 stars, last pushed 18d ago), with no licence file. It adds 390 tokens to every session and 3,305 once invoked, about $0.0016 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
agent-platform-model-registry
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.
foundry-config-setup
Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.
google-cloud-solution-agentic-analytics-spark-knowledge-catalog
Discovers requirements and designs an end-to-end governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark (Lightning Engine). Use when designing data science and analytics workflows across structured and unstructured distributed data (including in S3, Azure Blob, AlloyDB, and…
training-check
Interactively monitor training metrics from the current Codex session, periodically checking WandB or fallback logs for NaN, divergence, plateaus, and broken runs.
nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
finetuning
Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file…