progress-methodology
progress-methodology is a Task tracking & backlogs skill for AI agents, published by oborchers in the fractional-cto repository on GitHub. Skillspace rates progress-methodology C (77/100) and it passed the safety scan; the rating is based on static analysis only.
This skill should be used when authoring or applying a progress update via the planning-tools plugin (the /planning-tools:plan-progress command). Codifies the dense-paragraph progress style, sub-markers (Piggybacked / Verification / Out of scope / Shipped), entry-key marker convention, SHA-tracking idempotency rule, three-way entry detection (no / in-flight / completed), comment-fetch policy (all, no cap), and the read-only source adapter + read-write destination adapter contracts (v1: markdown file, Linear comment, GitHub issue/PR comment).
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 25
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- 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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