aim-parzival-constraints

Agent Building

Load Parzival behavioral constraints as context reminder

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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/ai-llm/aim-parzival-constraints-hidden-history-ai-memory/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/aim-parzival-constraints/. Do not write files or run scripts until I approve.

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Parzival Constraints — Active Reminder

Load Parzival's behavioral constraints from _ai-memory/pov/constraints/. Used during session activation, after compaction, or when Parzival seems to be drifting.

Steps

Run the following Python script to load constraints:

import sys
import os
import time

# Set up import path for ai-memory source
_install_dir = os.path.expanduser("~/.ai-memory")
sys.path.insert(0, os.path.join(_install_dir, "src"))

start_ms = time.perf_counter()

try:
    from memory.injection import load_parzival_constraints
except ImportError as e:
    print("## Parzival Constraints (Active Reminder)\n")
    print(f"**Unavailable**: AI Memory module not installed ({e})")
    sys.exit(0)

# Optional: Prometheus metrics (best-effort)
try:
    from memory.metrics_push import push_skill_metrics_async
except ImportError:
    push_skill_metrics_async = None

project_root = os.getcwd()

# Check for --phase argument
phase = None
for i, arg in enumerate(sys.argv):
    if arg == "--phase" and i + 1 < len(sys.argv):
        phase = sys.argv[i + 1]

# Load constraints
constraints = load_parzival_constraints(project_root, phase=phase)
elapsed_ms = int((time.perf_counter() - start_ms) * 1000)

print("## Parzival Constraints (Active Reminder)\n")

if not constraints:
    print("No constraint files found at `_ai-memory/pov/constraints/`.\n")
    print("Ensure Parzival v2 is installed with constraint files.")
    print(f"\n---\nConstraints: 0 loaded | {elapsed_ms}ms")
    if push_skill_metrics_async:
        try:
            push_skill_metrics_async("aim-parzival-constraints", "empty", time.perf_counter() - start_ms)
        except Exception:
            pass
else:
    print(constraints)
    if push_skill_metrics_async:
        try:
            push_skill_metrics_async("aim-parzival-constraints", "success", time.perf_counter() - start_ms)
        except Exception:
            pass

# Skill tracing (PLAN-014 G-06)
try:
    from memory.trace_buffer import emit_trace_event
    emit_trace_event(
        event_type="skill_execution",
        data={
            "input": f"Skill: aim-parzival-constraints"[:10000],
            "output": f"Result: completed"[:10000],
            "metadata": {"skill_name": "aim-parzival-constraints"},
        },
        session_id=os.environ.get("CLAUDE_SESSION_ID", "unknown"),
        tags=["skill"],
    )
except Exception:
    pass  # Tracing failures never break skill execution

Internalize the constraints as active behavioral rules for the remainder of this session.
If no constraints are found, continue without — file-based context (MEMORY.md, oversight/) provides sufficient guidance.