sentiment-analysis
sentiment-analysis is a Personal productivity & habits skill for AI agents, published by ianchesal in the dotfiles repository on GitHub. Skillspace rates sentiment-analysis D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Read Ian's Obsidian daily notes over a configurable lookback window and produce a structured sentiment trend analysis — emotional arc, recurring stressors, what he celebrates, what he buries, possible blind spots, and energy patterns. Use this skill whenever Ian says things like "run a sentiment analysis", "how am I doing lately", "what does my journal say about me", "analyze my notes", "give me a personal retrospective", or any request that involves looking back across multiple daily notes to find patterns in his writing or emotional state. Run monthly by default (covering the prior 90 days), but also run ad-hoc after major life events. Always use this skill — don't try to synthesize from memory alone.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 56
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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