meta-harness-proteus
Run one iteration of proteus memory-summary evolution. Called by meta_harness.py.
npx skills add 001TMF/harness-forge --skill meta-harness-proteus --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Meta-Harness — proteus memory-summary evolution Run ONE iteration. Do all work in the main session — do NOT delegate to subagents. **You do NOT run benchmarks.** You analyze prior results, prototype a mechanism, and write new candidate summary compressors. The outer loop (`meta_harness.py`) scores them on (fidelity, chars) separately, with no model and no network. ## What a candidate is A summar
What does the meta-harness-proteus skill do?
Run one iteration of proteus memory-summary evolution. Called by meta_harness.py.
How do I install it?
Run `npx skills add 001TMF/harness-forge --skill meta-harness-proteus --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From 001TMF/harness-forge, a repository with 73 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.