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 adbertram/cli-tools --skill openai-whisper-cligit clone --depth 1 https://github.com/adbertram/cli-toolsWrote 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/adbertram/cli-tools/openai-whisper-cli)<a href="https://agentmods.dev/skills/adbertram/cli-tools/openai-whisper-cli"><img src="https://agentmods.dev/badge/skills/adbertram/cli-tools/openai-whisper-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/adbertram/cli-tools/openai-whisper-cli"><img src="https://agentmods.dev/badge/skills/adbertram/cli-tools/openai-whisper-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 | $0.00118 | $0.00527 |
| Opus 5.5 | $0.00047 | $0.00211 |
| Sonnet 5.5 | $0.00024 | $0.00105 |
| Haiku 4.5 | $0.00012 | $0.00053 |
Grade A, and why
openai-whisper-cli scanned grade A with 0 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 today.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
<quick_start>
The openai-whisper CLI follows this pattern:
openai-whisper <command-group> <action> [arguments] [options]
| Task | Command |
|---|---|
| Transcribe a file | openai-whisper transcripts create video.mp4 |
| Transcribe with specific model | openai-whisper transcripts create video.mp4 --model base |
| Transcribe with word timestamps | openai-whisper transcripts create video.mp4 -w |
| List available models | openai-whisper transcripts models |
| List existing transcripts | openai-whisper transcripts list ./dir/ |
| Read a transcript | openai-whisper transcripts get video.json |
| </quick_start> |
<essential_principles>
MANDATORY: Consult the adjacent usage.json at <cli-tools-root>/_repo/skills/<tool>-cli/usage.json before executing ANY openai-whisper command.
This file contains complete command syntax, all arguments, all options, and usage instructions for every command. Never guess at command syntax.
<reference_index>
usage.json -- Complete command tree with arguments, options, defaults, and usage instructions for every command.
</reference_index>
<success_criteria>
- Command executes without error
- Output is displayed in requested format
- Correct command and flags used (verified against usage.json) </success_criteria>
What ships with it
1 file 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.
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.
- today First seen · 51 lines · 118 tokens per session scan A 01dd469f072d
openai-whisper-cli is a skill published in the GitHub repository adbertram/cli-tools (6 stars, last pushed today), licensed MIT. It adds 118 tokens to every session and 527 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-11-07.
openai-whisper-cli compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| openai-whisper-cliadbertram/cli-tools | Skill | 6 | today | MIT | A | 118 | Claude Code, Codex |
| opencli-autofixjackwener/OpenCLI | Skill | 31k | yesterday | Apache-2.0 | A | 61 | Claude Code |
| surfnicobailon/surf-cli | Skill | 684 | yesterday | MIT | A | 53 | Claude Code, Codex |
| rdc-cliBANANASJIM/rdc-cli | Skill | 193 | 14d ago | MIT | A | 82 | Claude Code, Codex |
| pixiv-cli-ciFlanChanXwO/pixiv-cli | Skill | 132 | yesterday | MIT | A | 61 | Codex |
| acrawl-mcpMingye-Lu/AgenticCrawler | Skill | 15 | yesterday | MIT | A | 200 | Claude Code, Codex |
| debug-hubrexleimo/aios | Skill | 62 | yesterday | MIT | B | 66 | Claude Code, Codex |