Borrowing it
Nothing to install: this file belongs to myunwang/LLMPET. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/myunwang/LLMPET/main/.agents/skills/register-generated-program/SKILL.mdgit clone --depth 1 https://github.com/myunwang/LLMPETWrote 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/myunwang/llmpet/register-generated-program)<a href="https://agentmods.dev/skills/myunwang/llmpet/register-generated-program"><img src="https://agentmods.dev/badge/skills/myunwang/llmpet/register-generated-program/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/myunwang/llmpet/register-generated-program"><img src="https://agentmods.dev/badge/skills/myunwang/llmpet/register-generated-program.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00071 | $0.00495 |
| Opus 5.5 | $0.00028 | $0.00198 |
| Sonnet 5.5 | $0.00014 | $0.00099 |
| Haiku 4.5 | $0.00007 | $0.00049 |
Grade A, and why
register-generated-program scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Register Codex Program
Add a Codex-created shortcut to LLMPET Launcher only after proving the deliverable really runs.
Workflow
- Identify the user-facing launch path. Prefer the same command or file the user should run later.
- Launch it in the real target environment. Compilation, lint, or unit tests alone do not count.
- Confirm an observable successful startup. If that remains unverified, do not register anything.
- Use exactly one of the following forms. Keep
--provider codex; this skill must never attribute a program to Claude Code.
For a command:
node "$HOME/.octopus/bin/register-generated-program.js" --verified \
--name "Program name" \
--description "What the shortcut opens" \
--cwd "/absolute/project/path" \
--command "npm" --arg "run" --arg "dev" \
--provider codex
For an app bundle or directly openable file:
node "$HOME/.octopus/bin/register-generated-program.js" --verified \
--name "Program name" \
--cwd "/absolute/project/path" \
--open "/absolute/project/path/Program.app" \
--provider codex
- Add
--icon /absolute/pathonly when a suitable local icon already exists. - Report registration only after the command prints JSON with
"ok": true.
Boundaries
- Use absolute paths.
- If the registrar is missing, ask the user to open LLMPET Workbench → Generated Programs and authorize the Codex skill. Do not recreate LLMPET's registry format manually.
- Pass arguments as repeated
--argvalues. Do not embed shell pipelines in--command. - Register the canonical project once; the same path and launch command update the existing shortcut.
- Never pass
--verifiedbefore a real launch succeeds. - Registration changes only LLMPET's local shortcut index. It does not copy, deploy, publish, or delete the project.
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.
- 1mo ago First seen · 49 lines · 71 tokens per session scan A b7847117e10e
register-generated-program is a skill published in the GitHub repository myunwang/LLMPET (126 stars, last pushed 3d ago), licensed MIT. It adds 71 tokens to every session and 495 once invoked, about $0.0003 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 2026-08-30.
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