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SKILL verified Apache-2.0 Self-run

Checkpoint

skill-mattjaikaran-meridian-checkpoint · by mattjaikaran

A Claude skill from mattjaikaran/meridian.

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Install

$ agentstack add skill-mattjaikaran-meridian-checkpoint

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

/meridian:checkpoint — Manual Save Point

Create a structured checkpoint with notes for later resume.

Arguments

  • `` — Optional notes about current state
  • --blockers — Record blockers

Procedure

Step 1: Determine Current Position

PYTHONPATH=$MERIDIAN_HOME uv run --project $MERIDIAN_HOME -- python -c "
import json
from scripts.db import connect, get_db_path
from scripts.state import compute_next_action, get_status
conn = connect(get_db_path('.'))
status = get_status(conn)
action = compute_next_action(conn)
print(json.dumps({
    'milestone_id': status['active_milestone']['id'] if status.get('active_milestone') else None,
    'phase_id': status['current_phase']['id'] if status.get('current_phase') else None,
    'action': action
}, default=str))
conn.close()
"

Step 2: Gather Recent Decisions

PYTHONPATH=$MERIDIAN_HOME uv run --project $MERIDIAN_HOME -- python -c "
import json
from scripts.db import connect, get_db_path
from scripts.state import list_decisions
conn = connect(get_db_path('.'))
decisions = list_decisions(conn, limit=10)
print(json.dumps(decisions, default=str))
conn.close()
"

Step 3: Create Checkpoint

PYTHONPATH=$MERIDIAN_HOME uv run --project $MERIDIAN_HOME -- python -c "
import json
from scripts.db import connect, get_db_path
from scripts.state import create_checkpoint
conn = connect(get_db_path('.'))
create_checkpoint(conn,
    trigger='manual',
    milestone_id='',
    phase_id=,
    notes='',
    blockers=,
    decisions=,
    repo_path='.'
)
conn.close()
print('Checkpoint saved.')
"

Step 4: Export State

PYTHONPATH=$MERIDIAN_HOME uv run --project $MERIDIAN_HOME -- python -c "
from scripts.export import export_state
export_state('.')
print('State exported to .meridian/meridian-state.json')
"

Step 5: Confirm

Print checkpoint summary with timestamp, position, and notes.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.