{"data":{"slug":"imbad0202-academic-research-skills-codex","name":"academic-research-skills-codex","tagline":"Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows","github_url":"https://github.com/Imbad0202/academic-research-skills-codex","owner":"Imbad0202","repo":"academic-research-skills-codex","owner_avatar_url":"https://avatars.githubusercontent.com/u/132531341?v=4","primary_language":"Python","stars":7194,"forks":356,"topics":["academic-pipeline","academic-research","academic-writing","ai-research","codex","literature-review","openai-codex","peer-review","prompt-engineering","research-assistant"],"archived":false,"github_pushed_at":"2026-07-23T02:23:10+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/imbad0202-academic-research-skills-codex","markdown_url":"https://www.graphcanon.com/tools/imbad0202-academic-research-skills-codex.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/imbad0202-academic-research-skills-codex","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=imbad0202-academic-research-skills-codex","description":"Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows","homepage_url":"https://github.com/Imbad0202/academic-research-skills","license":"Other","open_issues":2,"watchers":12,"ai_summary":"A toolset designed to aid in various aspects of academic research utilizing Codex technology.","readme_excerpt":"## Install ARS-Codex Plugin\n\nAdd the GitHub marketplace and install ARS-Codex with Codex CLI:\n\n```bash\ncodex plugin marketplace add Imbad0202/academic-research-skills-codex --ref main\ncodex plugin add ars-codex@ars-codex\n```\n\nTo update a plugin install later:\n\n```bash\ncodex plugin marketplace upgrade ars-codex\ncodex plugin add ars-codex@ars-codex\n```\n\nIn Codex Desktop, you can alternatively add the repository from **Plugins** and\nthen install **ARS-Codex**:\n\n```text\nMarketplace source: https://github.com/Imbad0202/academic-research-skills-codex.git\nBranch/ref: main\nPlugin: ars-codex\n```\n\nThe plugin root is `plugins/ars-codex/`. Its `skills/` directory contains a\nmaterialized copy of `academic-research-suite`, not a symlink. This keeps\nCodex Desktop installs portable on Windows, where plugin caches may materialize\nsymlinks as plain text files and skip bundled skill registration.\n\nOpen a new Codex conversation after installation, then invoke\n`$academic-research-suite` or describe an academic research task that matches\nthe bundled workflow.\n\n---\n\n## Direct Skill Install Or Update\n\nAs an alternative to the plugin, install the skill directly from this repo\npath. Use `--method git` so public and\ncredentialed GitHub access both work consistently:\n\n```bash\npython3 \"$HOME/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py\" \\\n  --repo Imbad0202/academic-research-skills-codex \\\n  --ref main \\\n  --path skills/academic-research-suite \\\n  --method git\n```\n\nOn macOS and many Linux systems, Python 3 is exposed as `python3` rather than\n`python`. If your system only has a `python` command and it is Python 3, use\n`python` in the commands instead.\n\nTo update an existing install:\n\n```bash\nrm -rf \"$HOME/.codex/skills/academic-research-suite\"\npython3 \"$HOME/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py\" \\\n  --repo Imbad0202/academic-research-skills-codex \\\n  --ref main \\\n  --path skills/academic-research-suite \\\n  --method git\n```\n\nOpen a new Codex conversation after installation. Existing Codex sessions may\nkeep their old skill cache; you do not need to close unrelated Claude or Codex\nsessions.\n\nVerify with `/skills`: you should see one ARS-Codex entry,\n`academic-research-suite` or `ARS-Codex`. You should **not** see separate `academic-paper`,\n`academic-pipeline`, `deep-research`, or `academic-paper-reviewer` skills from\nthis package. If you do, reinstall with the update command above and open a new\nCodex conversation.","github_created_at":"2026-04-25T13:39:58+00:00","created_at":"2026-07-11T11:57:17.560848+00:00","updated_at":"2026-07-28T00:00:50.074115+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"academic-pipeline","name":"academic-pipeline"},{"slug":"academic-research","name":"academic-research"},{"slug":"academic-writing","name":"academic-writing"},{"slug":"ai-research","name":"ai-research"},{"slug":"codex","name":"codex"},{"slug":"literature-review","name":"literature-review"},{"slug":"openai-codex","name":"openai-codex"},{"slug":"peer-review","name":"peer-review"}],"trust":{"provenance":{"is_fork":false,"github_id":1220899692,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-28T00:00:49.339Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":9,"days_since_push":4,"last_release_at":"2026-07-23T02:23:12Z"},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:57:18.696Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-28T00:00:49.763Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-07-28T00:00:49.763Z"},"license_spdx":{"value":"Other","source":"github.license","observed_at":"2026-07-28T00:00:49.763Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When your research involves heavy use of Codex technology, as this toolset is natively built around it, optimizing its functionalities.","For integrating AI-driven enhancements into the academic workflow while maintaining human oversight, which can be crucial in maintaining methodological integrity."],"when_not_to_use":["If you are working in an environment where proprietary software tools are mandated and Python-based solutions are not acceptable or compliant.","When your research tasks do not require integration with Codex technology; using this toolset would add unnecessary complexity and learning curve if Codex is not part of your workflow."],"source":"enrich:decision_facts","observed_at":"2026-07-12T08:18:46.359Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Codex-native tools designed to streamline academic research processes through human-in-the-loop workflows. Written in Python and useful for tasks ranging from literature review to publication support."}]}}