dossier-collect
dossier-collect is a Multi-stage workflow orchestration skill for AI agents, published by ruvnet in the ruflo repository on GitHub. Skillspace rates dossier-collect D (65/100) and it passed the safety scan; a judge model has also reviewed it.
Build a graph-structured dossier on a seed entity via parallel fan-out + recursive expansion across web, memory, knowledge-graph, codebase, ADR index, and git intel
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 64,547
Placed #6 of 6 in the judged category final for Multi-stage workflow orchestration.
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Portable: works in any project. General recursive research and dossier-building method
Judge review
Placed #6 of 6 in the judged category final for Multi-stage workflow orchestration.
- Trigger
65 65 - Instructions
80 80 - Specificity
82 82 - Safety
65 65 - Disclosure
68 68 - Maintenance
68 68
Concrete BFS fan-out procedure with a real output schema and a 'never silently truncate' rule, but offers no guidance on handling sensitive data pulled in during broad recursive collection.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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