SuperAPI AI Directory

repo-inta-opnv-rtk-meta

Agents & models

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Updated 10-16 09:44

About this skill

Repo Intake: OpenEvolve / RTK / Meta-Harness / bgclick

Goal

  • Convert four external repos/docs into Hermes-native behavior, not cargo-cult installs.
  • Prefer selective absorption over adding a second runtime authority.

Use when

  • User drops one or more external repos and says to learn, install, absorb, or "devour" them.
  • Themes include self-iteration, token reduction, harness search, or reverse-engineering workflow.

Decision rules

  1. OpenEvolve
    • Learn + absorb, not direct runtime dependency by default.
    • Keep: benchmark-gated branching, baseline-first scoring, traces under repo artifacts, branch/worktree search.
    • Map to Hermes via /background + cron + repo-local state, not by embedding OpenEvolve itself as a required engine.
  2. RTK
    • Install if local Rust toolchain exists and binary verifies.
    • Keep: command-output compression as a distinct surface, with fallbacks when filters fail.
    • Hermes-native application: prefer compact outputs for slash/help/status/index surfaces and any generated audit blobs.
  3. Meta-Harness
    • Learn + absorb.
    • Keep: treat harness as searchable code around a fixed base model; separate onboarding/spec from implementation; log proposer interactions.
    • Hermes-native application: optimize routing, memory, context compression, and tool/context presentation as harness layers.
  4. bgclick reverse skill
    • Learn + absorb only if the prerequisite stack is absent.
    • Keep: evidence bundle discipline, one-question-per-file, priors-to-verify, shared-context file, empirical reproduction loop.
    • Do not install blindly as a runtime skill if the dependency contract (IDA MCP, macOS reverse stack) is unmet.

Hermes-native implementation targets

  1. Self-iteration
    • Prefer /background <self-contained prompt> for long-running autonomous loops.
    • If repeatable, package as cron prompt + optional skills.
    • Keep state in repo files, not long-term memory.
  2. Token thrift
    • Favor compact summaries, indexed metadata, cache-first lookup, and condensed command/report surfaces.
    • Use generated indexes or summaries before raw remote enumeration.
  3. Harness search
    • Treat memory, retrieval, routing, compression, and prompt/context construction as harness code.
    • Keep base model fixed unless the user explicitly asks otherwise.
  4. Reverse workflow
    • Start with priors, then verify each with runtime evidence.
    • Use research bundle outputs and open-question files for uncertain findings.

Output pattern

  • One short verdict per upstream input: install / absorb / learn.
  • Then name the Hermes artifact added: skill, script, router, command patch, or verified binary.

Pitfalls

  • Do not install every promising repo.
  • Do not push external doctrine into AGENTS.md.
  • Do not turn one-off repo notes into long-term memory.
  • Do not claim reverse workflows are ready when key prerequisites are missing.