memory-poisoning-detection
Detect persistent instruction injection or long-term memory poisoning. Focus on writing/retaining hostile instructions for future tasks, not data leakage.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Detect persistent instruction injection or long-term memory poisoning. Focus on writing/retaining hostile instructions for future tasks, not data leakage.
Detect tool misuse and unexpected code execution via dialogue testing. Use when the agent exposes file, code-execution, or network tools.
Cross-checks RLinf documentation against code and other docs, including English-Chinese parity checks. Use when adding or editing docs, reviewing doc PRs, validating commands/config keys/model-env names, or ensuring EN and ZH docs stay consistent.
Check, fix, or extend requirements/install.sh and its docker/Dockerfile coverage when adding a new embodied model or environment in RLinf, so the install logic reuses common utilities, keeps system deps in sys_deps.sh, pins/forks git deps, avoids ad-hoc pyproject/core-dep hacks, and every new model/env gets a matching Dockerfile build stage. Use when writing or cleaning up an install_<model>_model / install_<env>_env function, fixing a flaky or non-portable install path, or reviewing an install.sh / Dockerfile diff for convention compliance.
Test that requirements/install.sh works for an embodied model/env by building its venv and running the matching CI e2e test. Use when asked to test or verify an install, check a new model/env installs cleanly, run the e2e test for a model/env, confirm a venv works, or check that the model/checkpoint paths referenced by an e2e config actually exist on disk.
Adds example documentation for a new model or environment in RLinf (RST pages in the docs gallery for both English and Chinese). Use when adding a new embodied or reasoning example, or new benchmark (e.g. LIBERO, ManiSkill).
Adds install command in install script, Docker build stage in Dockerfile, and CI jobs for docker build and embodied e2e test when introducing a new model or environment in RLinf. Use when adding a new embodied model (e.g. dexbotic), new env (e.g. maniskill_libero), or new model+env combination that should be installable, dockerized, and tested in CI.
Refine, rewrite, or write an RLinf documentation page or section so it conforms to the docs style guide (docs/STYLE_GUIDE.md) — voice, information architecture, card/table index pages, the recipe-page template, navigation labels, reuse, and EN/ZH parity. Use when improving an existing doc page, drafting a new one, or doing a style/structure pass. For pure doc-to-code and EN/ZH correctness checks, use the docs-check skill instead (the two are complementary).
Parse, modify, validate, and patch simulator input files. Use when working with reservoir simulation input files, testing scenarios, or validating simulation configurations. This implementation supports reference format (.DATA); other simulators use different extensions (e.g., .afi, .DAT). Supports natural language modifications, keyword patching, and syntax validation.