ascent-research

ascent-research is a Research reports & synthesis skill for AI agents, published by actionbook in the ascent-research repository on GitHub. Skillspace rates ascent-research F (53/100) and it passed the safety scan; the rating is based on static analysis only.

Full ascent-research CLI — incremental, resumable research sessions driven from a Claude Code or Codex instance. Orchestrate postagent (HTTP API) + actionbook browser (CDP) + local file ingest to build reproducible sessions with a persistent wiki layer, autonomous LLM loop, and editorial HTML reports. Covers all command surfaces — online fetch (add / batch / route), local ingest (add-local), session lifecycle (new / list / status / resume / close / rm / series / fork via --from), autonomous loop, wiki knowledge layer (list / show / rm / query / lint), user-editable SCHEMA.md, and renderers (synthesize / report / coverage / diff). Use for any "build a reproducible report on topic X" or "investigate source tree Y" or "compare technologies A and B with citations" request.

Grade
F
Quality
53 / 100
Safety
Passed
GitHub stars
188

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
80 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

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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