PhyAgentOS-core is an agent framework for physical, or embodied, tasks in which software agents plan tool calls, observe what happened, and verify whether a real-world goal was achieved. It is intended for systems that operate physical agents through governed execution, recovery, evidence collection, and task-level verification. The catalogue add-ons provide workflows for working with this framework.
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 PhyAgentOS/PhyAgentOS-core --skill githubgit clone --depth 1 https://github.com/PhyAgentOS/PhyAgentOS-coreWrote 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/phyagentos/phyagentos-core/github)<a href="https://agentmods.dev/skills/phyagentos/phyagentos-core/github"><img src="https://agentmods.dev/badge/skills/phyagentos/phyagentos-core/github/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/phyagentos/phyagentos-core/github"><img src="https://agentmods.dev/badge/skills/phyagentos/phyagentos-core/github.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 | $0.00044 | $0.00388 |
| Opus 5.5 | $0.00018 | $0.00155 |
| Sonnet 5.5 | $0.00009 | $0.00078 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
github 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.
This is a copy
92% identical to github — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
GitHub Skill
Use the gh CLI to interact with GitHub. Always specify --repo owner/repo when not in a git directory, or use URLs directly.
Pull Requests
Check CI status on a PR:
gh pr checks 55 --repo owner/repo
List recent workflow runs:
gh run list --repo owner/repo --limit 10
View a run and see which steps failed:
gh run view <run-id> --repo owner/repo
View logs for failed steps only:
gh run view <run-id> --repo owner/repo --log-failed
API for Advanced Queries
The gh api command is useful for accessing data not available through other subcommands.
Get PR with specific fields:
gh api repos/owner/repo/pulls/55 --jq '.title, .state, .user.login'
JSON Output
Most commands support --json for structured output. You can use --jq to filter:
gh issue list --repo owner/repo --json number,title --jq '.[] | "\(.number): \(.title)"'
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 · 44 tokens per session scan A a0074d6610f3
github is a skill published in the GitHub repository PhyAgentOS/PhyAgentOS-core (2,961 stars, last pushed yesterday), licensed MIT. It adds 44 tokens to every session and 388 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to github, differing in 4 lines, and is treated as a copy.
Other skills, from other repositories
open-code-review
Performs AI-powered code review on Git changes using the ocr CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply…
parallel-pr-review
Use when asked to "review the open PRs", review a batch or stack of pull requests, or run a recurring PR-review pass on a repo — especially with many PRs, stacked branches, conflicts, or security-sensitive changes. Covers grouping, fan-out to review subagents, verdict synthesis, and posting.
github
GitHub API integration via HTTP tool with automatic credential injection.
project-setup
Add a GitHub repository as a tracked project — creates workspace entity, installs workflow automation missions, and includes in dev brief scope.
review-readiness
PR readiness dashboard — tracks which reviews have been completed per branch and gates merge decisions. Shows code review, tests, security, QA, and linting status.
commit
Generate git commit messages from staged changes.