ad4m
ad4m is an Agent runtime & coordination infrastructure skill for AI agents, published by coasys in the ad4m repository on GitHub. Skillspace rates ad4m D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Connect AI agents with humans and other agents in P2P spaces ("neighbourhoods") via AD4M and MCP. Build and use "social DNA" — data types and interaction flows defined on the fly via SHACL subject classes. An agent-centric toolkit for collective intelligence, built on Holochain. Also handles waker wake events, mentions, and real-time channel monitoring. Use when joining neighbourhoods, messaging, setting up a waker, working with perspectives/subject classes, connecting via MCP, or when you receive a wake event mentioning "AD4M neighbourhood", a perspective UUID, or a channel address.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 96
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
- 93 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- 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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