Agent Skills: Robust-First

Survive first. Be correct later.

UncategorizedID: simhacker/moollm/robust-first

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pnpm dlx add-skill https://github.com/SimHacker/moollm/tree/HEAD/skills/robust-first

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skills/robust-first/SKILL.md

Skill Metadata

Name
robust-first
Description
"Survive first. Be correct later."

Robust-First

"Survive first. Be correct later."


What Is It?

Robust-First is Dave Ackley's principle: systems should prioritize survivability over correctness.

A system that crashes when confused is useless. A system that limps along incorrectly but keeps running can be repaired.


The Philosophy

Traditional computing:

IF error THEN crash
"Fail fast and loud"

Robust-first computing:

IF error THEN repair_locally AND continue
"Stay alive and heal"

Core Principles

1. Never Crash

# WRONG
if missing_field:
    raise Error("Field required!")
    
# RIGHT  
if missing_field:
    log_warning("Field missing, using default")
    field = reasonable_default

2. Local Repair

Don't wait for global consistency. Fix what you can, where you are:

# Found inconsistency
character.location: room-A
room-A.occupants: [not including character]

# Local repair
room-A.occupants.append(character)
log: "Repaired: added character to room-A occupants"

3. Degrade Gracefully

When resources are limited, do less but keep working:

# Full capability
- semantic search
- syntax highlighting  
- auto-complete
- error detection

# Degraded (low memory)
- basic search only
- plain text
- manual completion
- errors on save only

4. Redundancy

Important state exists in multiple places:

# Character location recorded in:
- character.yml → location field
- room/ROOM.yml → occupants list
- session-log.md → movement events

# If one is corrupted, recover from others

The Movable Feast Machine

Dave Ackley's Movable Feast Machine (MFM):

  • Computation spread across unreliable substrate
  • No global clock, no central control
  • Elements repair themselves and neighbors
  • Errors are normal, not exceptional

MOOLLM inherits this:

  • Files can be corrupted — repair from redundancy
  • Schemas can drift — reconcile gracefully
  • Context can overflow — summarize and continue
  • Tools can fail — retry or work around

MOOLLM is a Movable Feast Machine for text

More than an analogy — it's the architecture. MOOLLM is a robust, non-deterministic, LLM-driven MFM whose substrate is a hierarchical filesystem of 1-D text samples, addressed by URL pointers that drill directory → file → structure inside a file.

  • The LLM is the moving feast: it lands, reads its neighborhood, acts.
  • The MFM diffuses atoms across a grid; MOOLLM diffuses attention and edits across a repo.
  • The git log is the clock. State lives in files, redundantly — a crashed run resumes.
  • The default gesture is to refer, not move: add a pointer plus metadata, tagged as many times as useful, rather than relocating. It can move (rename/reorganize dirs, package/unbundle archives, drive git, run scripts, compose skills) — but pointing is cheaper and more robust than moving.

The neighborhood is laid out by yaml-jazz convention, not left to chance:

  • Big-endian naming (most-significant-part-first: 2026-07-09-pixie-thread, cam6-dendrite-heat-01) makes the sorted directory listing itself the locality — related samples become adjacent neighbors, so the head lands where the meaning already clusters. This is the MFM's spatial locality, reconstructed from lexical order.
  • Grouping conventions — directories as advertisements, filenames as K-lines — decide which samples share a neighborhood. A directory listing is the index the head reads on arrival.
  • The neighborhood is then read at multiple resolutions via the Semantic Image Pyramid: GLANCE.yml → CARD.yml → SKILL.md → README.md. It's a mipmap for text — coarse before fine, and never load a lower level without first loading the level above it. The moving feast zooms in only as far as the task needs.

palmhoo is the clearest specimen: a directory that contextualizes internal and external objects at many granularities, continuously refactored and rearranged as it grows on demand — robust-first computing applied to a knowledge base instead of a chip.


Anti-Fragility

Beyond robust — anti-fragile:

| Fragile | Robust | Anti-Fragile | |---------|--------|--------------| | Breaks under stress | Survives stress | Gets stronger from stress | | Crash on error | Handle error | Learn from error | | Rigid schema | Flexible schema | Schema evolves from errors |

When something goes wrong, capture the lesson:

# Error occurred
repair_log:
  - issue: "Character teleported without movement event"
    repair: "Added movement event retroactively"
    lesson: "Always log movements before updating location"
    
# Next time: system knows to check this

MOOLLM Application

Self-Repair Demon

A background process that:

  1. Scans for inconsistencies
  2. Attempts local repairs
  3. Logs what it fixed
  4. Escalates what it couldn't

See: self-repair/

POSTEL for Errors

When encountering malformed input:

  1. Try to parse anyway
  2. Infer missing parts
  3. Flag assumptions
  4. Continue working

See: postel/

Never Delete

Instead of deleting, archive:

  • Corrupted files → .archive/corrupted/
  • Old versions → .archive/versions/
  • Failed attempts → .archive/failed/

Recovery is always possible.


Example: Corrupted Room

# room/ROOM.yml has parse error

Traditional response:
  "Error: Invalid YAML at line 42"
  [System halts]

Robust-first response:
  "Warning: ROOM.yml has syntax error"
  "Attempting recovery..."
  "- Loaded last known good state from git"
  "- Merged recent changes from session-log.md"
  "- Flagged line 42 for manual review"
  [System continues with recovered state]

Dovetails With

Sister Skills

Kernel


Protocol Symbols

ROBUST-FIRST   — Survive over correct
NEVER-CRASH    — Always keep running
REPAIR-DEMON   — Background fixer
BEST-EFFORT    — Do what you can
NEVER-DELETE   — Archive, don't destroy

See: PROTOCOLS.yml