Skill
deep-research-okf-normalize
MITUpdated on Sep 5, 20267GitHub starsIncludes scripts
deep-research-okf-normalize is an agent skill for Research.
What the skill teaches
We haven't written a summary for this listing yet. The facts below come from its repository and package data.
Capabilities
Not stated in its documentation
Install
The project doesn't document install steps that we could confirm. See the project's own instructions
What's inside
- requirements.txt
- scripts/normalize_to_okf.py
- scripts/validate_okf.py
- tests/test_normalize_to_okf.py
Details
| Fact | Value | Source |
|---|---|---|
| Type | Skill | |
| Tool | Research | |
| Publisher | Not stated in its documentation | |
| Official status | Not stated in its documentation | |
| Needs an API key or sign-in | Not stated in its documentation | |
| Includes scripts | Yes | source |
| Platforms | Not stated in its documentation | |
| AI clients | Not stated in its documentation | |
| Licence | MIT | source |
| Pricing | Not stated in its documentation | |
| Activity | Last commit Sep 5, 20267 GitHub starsDownload data not available (not on npm or PyPI) | source |
| Links | Repository |
Also listed under: Research
Sources
- GitHub repositorygithub.com/closedloop-technologies/climbhill · Backs: Activity, LicenceNov 11, 2026
- Skill file (SKILL.md)github.com/closedloop-technologies/climbhillNov 10, 2026
- Folder in the repository (deep-research-okf-normalize)github.com/closedloop-technologies/climbhill · Backs: Includes scriptsNov 10, 2026