Amp-Skill: Interruption Pattern Detection and Retrieval

SkillAI & models

Interruption pattern detection and retrieval from Amp thread history. Use for analyzing tool rejection patterns and improving agent behavior.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Amp-Skill: Interruption Pattern Detection and Retrieval skill

What this skill tells your AI

The instructions your AI receives, as published by plurigrid/asi in skills/amp-skill/SKILL.md and read by ahel’s review.

GF(3) Trit: 0 (ERGODIC - coordination layer) Foundation: DuckDB ACSet from Amp file-changes

Overview

Amp-Skill distills usage patterns from Amp thread history, specifically focusing on interruption patterns where tool suggestions were rejected in favor of:

  1. Two-lock processes - user requested confirmation before proceeding
  2. Complete discontinuation - user abandoned the thread entirely
  3. Reverted operations - user explicitly undid an AI action

Retrieval Benchmark Metrics

MetricValue
Total Threads616
Total Tool Calls2,535
Threads with Interruptions282 (45.8%)
Reverted Tool Calls84 (3.3%)
Two-Lock Cascades47
Complete Discontinuations22

Interruption Pattern Distribution

Pattern TypeCountPercentage
abandoned26962.4%
reverted8419.5%
two_lock4710.9%
discontinuation225.1%
high_rejection92.1%

GF(3) Distribution

RoleThreadsTool CallsReverted
MINUS21876927
ERGODIC20997626
PLUS18979031

File Types Most Frequently Reverted

  1. .org - 28 reverts (Emacs org-mode files)
  2. .py - 20 reverts (Python scripts)
  3. .sh - 18 reverts (Shell scripts)
  4. .md - 15 reverts (Markdown documentation)

SQL Access

-- Query interruption patterns
SELECT * FROM amp_interruptions ORDER BY ts DESC;

-- Find high-rejection threads
SELECT thread_id, tool_call_count, reverted_count,
       ROUND(100.0 * reverted_count / tool_call_count, 1) as revert_pct
FROM amp_threads
WHERE reverted_count > 0
ORDER BY revert_pct DESC;

-- Detect two-lock cascades
SELECT thread_id, COUNT(*) as consecutive_reverts
FROM amp_interruptions
WHERE pattern_type = 'two_lock'
GROUP BY thread_id
ORDER BY consecutive_reverts DESC;

Key Insights

1. Abandoned Threads (62.4%)

  • Single tool call threads indicate quick task completion OR user abandonment
  • Requires context analysis to distinguish

2. Two-Lock Cascades (10.9%)

  • 47 instances of consecutive reverts within 60 seconds
  • Indicates AI attempting same action repeatedly despite rejection
  • Action: Implement backoff after 2 consecutive reverts

3. High-Rejection Threads (2.1%)

  • 9 threads with >50% revert rate
  • Top offender: 100% revert rate on capability-signer-prototype.sh
  • Pattern: Security-sensitive code rejected multiple times

4. File Type Sensitivity

  • .org files most frequently rejected (28)
  • Personal/organizational files have higher rejection rate
  • Action: Add confirmation prompt for org-mode edits

Retrieval Benchmark Success Criteria

  • All 616 threads loaded from filesystem
  • All 2,535 tool calls indexed with metadata
  • 5 interruption pattern types detected
  • Two-lock pattern detection via SQL windowing
  • Discontinuation pattern (thread ends on revert)
  • GF(3) conservation (currently imbalanced by 29)

Usage

# Load/refresh Amp threads
bb scripts/amp_thread_loader.bb

# Query via DuckDB
duckdb trit_stream.duckdb "SELECT * FROM amp_interruptions"

Integration with Triadic Protocol

When Amp-Skill detects a high-rejection pattern:

  1. MINUS (-1): Validate the rejection pattern
  2. ERGODIC (0): Coordinate alternative approaches
  3. PLUS (+1): Generate new solution avoiding rejected pattern

Data Sources

  • Local: ~/.amp/file-changes/T-* (2,535 files)
  • API: None currently (file-changes only contain diffs)
  • Potential: Amp GraphQL API for full conversation history

Signals

GitHub stars
63
Forks
12
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
amp-skill
Source
github.com/plurigrid/asi