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 serejaris/kimi-skills --skill glab-securefilegit clone --depth 1 https://github.com/serejaris/kimi-skillsWrote 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/serejaris/kimi-skills/glab-securefile)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/glab-securefile"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/glab-securefile/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/serejaris/kimi-skills/glab-securefile"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/glab-securefile.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 | $0.00058 | $0.00375 |
| Opus 5 | $0.00029 | $0.00187 |
| Sonnet 5 | $0.00012 | $0.00075 |
| Haiku 4.5 | $0.00006 | $0.00038 |
Grade A, and why
glab-securefile 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 9d 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.
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
glab securefile
概述
Store up to 100 files for secure use in CI/CD pipelines. Secure files are
stored outside of your project's repository, not in version control.
It is safe to store sensitive information in these files. Both plain text
and binary files are supported, but they must be smaller than 5 MB.
USAGE
glab securefile <command> [command] [--flags]
COMMANDS
create <fileName> <inputFilePath> Create a new project secure file.
download <fileID> [--flags] Download a secure file for a project.
get <fileID> Get details of a project secure file. (GitLab 18.0 and later)
list [--flags] List secure files for a project.
remove <fileID> [--flags] Remove a secure file.
FLAGS
-h --help Show help for this command.
-R --repo Select another repository. Can use either `OWNER/REPO` or `GROUP/NAMESPACE/REPO` format. Also accepts full URL or Git URL.
快速入门
glab securefile --help
子命令
完整的 --help 输出请参阅 references/commands.md。
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.
- 9d ago First seen · 45 lines · 58 tokens per session scan A a8786c634a3b
glab-securefile is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 375 once invoked, about $0.0003 per session on Opus 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 2026-09-03.
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