adobe-cost-tuning
adobe-cost-tuning is a Budgeting & expense management skill for AI agents, published by jeremylongshore in the claude-code-plugins-plus-skills repository on GitHub. Skillspace rates adobe-cost-tuning C (77/100) and it passed the safety scan; a judge model has also reviewed it.
Reduce Adobe integration spend using contract, invoice, usage, queue, storage, and retry evidence instead of invented per-call prices. Use when the task requires adobe workload cost and waste review. Trigger with "reduce Adobe cost", "Adobe spend review", or "PDF transaction budget".
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 2,723
Placed #6 of 6 in the judged category final for Budgeting & expense management.
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
- 82 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #6 of 6 in the judged category final for Budgeting & expense management.
- Trigger
5 5 - Instructions
35 35 - Specificity
25 25 - Safety
80 80 - Disclosure
40 40 - Maintenance
55 55
An empty description plus vague, consulting-speak steps with almost no concrete commands leave little an agent could actually execute.
Not checked yet
- 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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