RPent is an open framework for building embodied agents, software systems that perceive and act in the physical world while combining reasoning, memory, execution, and adaptation. It is intended for embodied-intelligence researchers working on physical tasks and related evaluations.
Borrowing it
Nothing to install: this file belongs to RLinf/RPent. 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/RLinf/RPent/main/.agents/skills/review-pr/SKILL.mdgit clone --depth 1 https://github.com/RLinf/RPentWrote 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/rlinf/rpent/review-pr)<a href="https://agentmods.dev/skills/rlinf/rpent/review-pr"><img src="https://agentmods.dev/badge/skills/rlinf/rpent/review-pr/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/rlinf/rpent/review-pr"><img src="https://agentmods.dev/badge/skills/rlinf/rpent/review-pr.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 | $0.01468 |
| Opus 5.5 | $0.00018 | $0.00587 |
| Sonnet 5.5 | $0.00009 | $0.00294 |
| Haiku 4.5 | $0.00004 | $0.00147 |
Grade A, and why
review-pr 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 18d 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.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review an RPent change
Use AGENTS.md and CONTRIBUTING.md as repository guidance. Prioritize correctness and real maintenance costs. Adapt the review to the change; the guidance below is not an exhaustive checklist or a quota of findings.
1. Establish scope and versions
- For a PR, use available GitHub tools or Git to read its description, live
base repository/branch/SHA, exact head SHA, diff, checks, and review threads.
Fetch those refs and the latest
RLinf/RPentmain. Verify remote URLs;originmay be a contributor's fork. - Use the verified base/head merge base to identify the PR's changes. Read full files and consumers at the head, then compare affected interfaces with current upstream main. Keep PR scope separate from later main refactors.
- Do not use an unrelated checkout or uncommitted work as upstream evidence.
Use
git show <ref>:<path>,git diff, andgit log, or equivalent GitHub reads. If a ref is inaccessible, state the missing evidence. - For local review, establish the requested staged, unstaged, or branch diff and its baseline. Identify that snapshot explicitly in the report.
2. Understand the change
Identify the problem, previous behavior, proposed behavior, main implementation choices, and affected entry points. Trace configuration and registration through the actual callers; verify the PR description against the code.
For RPent, inspect relevant paths across planner/session, prompt/tool schema, toolkit, Env/VLA RPC, and CLI/Dashboard runtime. Identify the affected callers and the prompts, tool results, and observations the model receives.
3. Review correctness and project fit
Choose the depth of review from the affected contracts and plausible failure modes. Follow relevant callers beyond the diff where needed. Keep findings attributable to the change; identify pre-existing problems separately when they materially affect the review.
- Correctness and lifecycle: verify intended behavior, defaults, state transitions, and error handling through the affected entry points. For concurrent or resource-owning code, inspect cancellation, partial startup, cleanup, and ownership of services and artifacts. Check that constraints hold at the operation that executes them, including alternate callers.
- Design and current-main integration: compare with the nearest current implementation and shared helpers, registration, configuration, and optional imports. Assess abstractions, compatibility paths, and validation against actual consumers and supported data. Propose simplifications with concrete evidence while preserving required behavior. Explain any mismatch with a main refactor; being behind main or mergeable alone is not evidence of one.
- Module boundaries: check new files and changes to existing classes, methods, and helpers. Trace callers and imports to identify the module that owns the behavior. A placement finding needs a project convention or a comparable implementation, the coupling or maintenance cost, and a suggested location.
- Shared classes and interfaces: identify the shared behavior being added and its callers. Check the effect on other subclasses and backends, including those that do not use the feature. Look for backend-specific policy, imports from higher layers, or unrelated state added to common components. Consider existing extension points and direct calls before adding another abstraction. A small feature can require a shared change. Recommend a split only when it clarifies responsibility or reduces coupling.
- Contract changes: check whether existing flags, parameters, or methods gain new guarantees or restrictions. Trace their callers even when names, types, and defaults are unchanged. If one flag controls multiple behaviors, verify that each caller satisfies all of them, and check the matching tests and documentation.
- Documentation and model inputs: when public behavior or prose changes, use docs-check to verify accuracy, useful explanation, and natural, consistent language. For prompt or tool changes, inspect the rendered instructions, schemas, results, and affected planner modes; judge omissions, conflicts, and repetition by their effect on the model's task.
- Tests and evidence: check that coverage exercises the changed contract and would detect the intended regression through the relevant entry path. Assess whether added cases provide useful coverage and whether existing tests can be extended. Follow AGENTS.md for test design and style; avoid speculative nits or issues already resolved by passing gates.
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.
- 18d ago Changed · +18 lines 2f4cf21efd7e
- 1mo ago First seen · 104 lines · 44 tokens per session scan A 6b2dac776e77
review-pr is a skill published in the GitHub repository RLinf/RPent (1,640 stars, last pushed 3d ago), licensed Apache-2.0. It adds 44 tokens to every session and 1,468 once invoked, about $0.0002 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 2026-09-17.
Other skills, from other repositories
github-pr-workflow
Prepare a GitHub pull request from a feature branch — branch hygiene, commit shape, title/body, verification notes, screenshots for UI work, and replies to review comments.
agent-swarm-pr
Agent skill for swarm-pr - invoke with $agent-swarm-pr.
agent-pr-manager
Agent skill for pr-manager - invoke with $agent-pr-manager.
github-automation
GitHub workflow automation, PR management, issue tracking, and code review coordination. Integrates with GitHub Actions and repository management. Use when: PR creation, code review, issue management, release automation, workflow setup. Skip when: local-only changes, non-GitHub repositories.
babysit
Watch an open PR — fix failing CI, handle the straightforward review comments, and drive it to a mergeable state. Claude Code analog of Cursor's built-in /babysit. Use after opening a PR when the user wants the agent to shepherd it without re-prompting.
make-pr-easy-to-review
Prepare PRs for review by cleaning noisy history, improving PR descriptions, and adding reviewer guidance without changing code behavior. Use for "make this easy to review", "tidy this PR", "clean up commits", or "annotate the diff".