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Backup and disaster recovery. backup strategy, disaster recovery, RPO/RTO, data integrity, durability, runbook.
Backup and disaster recovery. backup strategy, disaster recovery, RPO/RTO, data integrity, durability, runbook.
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/godmode:backup/godmode:infra provisions stateful services (databases, storage, queues)Identify all data that needs protection:
DATA ASSET INVENTORY:
| Asset | Type | Size | Growth | Critical |
Set recovery objectives for each data tier:
RECOVERY OBJECTIVES:
| Data Tier | RPO | RTO | Justification |
Design backup approach for each data tier:
TIER 1 BACKUP STRATEGY:
Primary database:
TIER 2 BACKUP STRATEGY:
File uploads (S3/GCS):
TIER 3 BACKUP STRATEGY:
Application logs:
IF backup age >24h: trigger immediate backup. IF restore test fails: alert and re-run.
Automated checks that backups are actually working:
BACKUP VERIFICATION SCHEDULE:
| Check | Frequency | Method | Alert |
### Step 5: Data Integrity Verification
Verify backed-up data is consistent and usable:
DATA INTEGRITY CHECKS:
| Check | Method | Frequency |
|---|---|---|
| Row count consistency | Compare source vs | After each |
| restored backup | restore test | |
| Checksum verification | SHA-256 of backup | Every backup |
| file | ||
| Foreign key integrity | Run FK constraint | Weekly |
| check on restored DB | restore | |
| Application smoke test | Run app against | Monthly |
| restored DB | restore | |
| Point-in-time accuracy | Restore to specific | Quarterly |
| time, verify records | ||
| Cross-region consistency | Compare checksums | Weekly |
| across regions |
Integrity verification queries:
-- Row count comparison (run against source and restored)
SELECT table_name, n_live_tup
FROM pg_stat_user_tables
Document step-by-step recovery for each failure scenario:
RECOVERY: Primary Database Failure
Severity: CRITICAL
RPO: < 1 minute (via streaming replication)
RTO: < 15 minutes (via automated failover)
AUTOMATED RESPONSE:
1. Health check detects primary is unresponsive (30 seconds)
2. Orchestrator promotes synchronous replica to primary (15 seconds)
3. Application connection pool reconnects to new primary (30 seconds)
4. DNS/service discovery updated (60 seconds)
5. Alert sent to on-call engineer
6. Total automated recovery: < 3 minutes
MANUAL RESPONSE (if automated failover fails):
1. Verify primary is truly down (not a network partition)
$ pg_isready -h <primary-host>
2. Check replica lag
$ psql -h <replica-host> -c "SELECT pg_last_wal_replay_lsn();"
3. Promote replica manually
$ pg_ctl promote -D /var/lib/postgresql/data
4. Update connection string in application config
5. Restart application instances
6. Verify application is serving traffic
POST-RECOVERY:
1. Provision new replica from promoted primary
2. Verify replication is streaming
3. Update monitoring and alerting
4. Write incident report
RECOVERY: Data Corruption — Severity: HIGH, RTO: 15min-2h
1. STOP: Identify scope, disable source (bad migration, broken code)
2. RECOVER: Point-in-time restore (recent) | Snapshot restore (widespread) | Selective table restore (targeted)
3. VERIFY: Row counts, smoke tests, no orphaned records
4. POST-MORTEM: Root cause, prevention, detection/recovery speed
RECOVERY: Region Failure — Severity: CRITICAL, RPO: <1min, RTO: <30min
1. Detect failure (monitoring + cloud status page)
2. Activate DR: promote cross-region replica, verify storage, scale instances, update DNS (TTL 60s)
3. Verify DR serving traffic, communicate to stakeholders
RETURN TO PRIMARY: Wait 24h+, reverse replication, verify consistency, canary traffic shift
Generate a comprehensive runbook document:
DISASTER RECOVERY RUNBOOK
Last tested: <date>
Next test scheduled: <date>
Owner: <team/person>
On-call escalation: <contact chain>
Recovery objectives:
| Tier 1 RPO: < 1 min | RTO: < 15 min |
|--|--|
| Tier 2 RPO: < 1 hour | RTO: < 1 hour |
| Tier 3 RPO: < 24 hour | RTO: < 4 hours |
Scenarios covered:
1. Primary database failure → Page 3
2. Data corruption → Page 5
3. Complete region failure → Page 8
4. Ransomware / security breach → Page 11
5. Accidental data deletion → Page 13
6. Cloud provider outage → Page 15
Backup status:
Database: <HEALTHY | DEGRADED | FAILED>
File storage: <HEALTHY | DEGRADED | FAILED>
Configuration: <HEALTHY | DEGRADED | FAILED>
Secrets: <HEALTHY | DEGRADED | FAILED>
Last successful restore test: <date> (<result>)
Last DR failover test: <date> (<result>)
BACKUP & DISASTER RECOVERY REPORT
Data assets inventoried: <N>
Backup strategies defined: <N>
Recovery procedures documented: <N> scenarios
Coverage:
Tier 1 (critical): <PROTECTED | GAPS | UNPROTECTED>
Tier 2 (important): <PROTECTED | GAPS | UNPROTECTED>
Tier 3 (operational): <PROTECTED | GAPS | UNPROTECTED>
Verification:
Automated checks: <CONFIGURED | PARTIAL | MISSING>
Last restore test: <date | NEVER>
Last DR test: <date | NEVER>
Gaps identified: <N>
1. <gap description and remediation>
2. <gap description and remediation>
Verdict: <PROTECTED | PARTIAL | AT RISK>
Save runbook as docs/dr/<date>-disaster-recovery-runbook.md
# Test backup and restore procedures
pg_dump -Fc mydb > backup_test.dump
pg_restore -d mydb_test backup_test.dump
psql mydb_test -c "SELECT count(*) FROM users;"
# Verify backup and test restore
pg_dump --format=custom -f backup.dump $DATABASE_URL
pg_restore --list backup.dump
curl -s http://localhost:8080/health
1. Data stores: grep for postgres, mysql, mongodb, redis connection strings
2. Object storage: grep for S3, GCS, Azure Blob configs
3. Existing backups: check crontab, CI jobs, WAL archiving configs
4. No backups → CRITICAL gap. No verification → HIGH gap.
BACKUP VERIFICATION LOOP:
current_iteration = 0
max_iterations = 10
gaps_remaining = total_gaps_found
WHILE gaps_remaining > 0 AND current_iteration < max_iterations:
current_iteration += 1
1. SELECT highest-severity backup gap
2. IMPLEMENT fix:
- Missing backup → create backup job/config
- No verification → add automated integrity check
- No cross-region → configure replication
- No restore test → create and run restore test
3. git commit: "backup: fix <gap> (iter {current_iteration})"
4. VERIFY the fix:
- Backup job runs successfully
- Backup file is valid (checksum, header check)
- Restore test passes (if applicable)
5. IF verification fails:
- Debug configuration
- Retry with adjusted parameters
6. UPDATE gaps_remaining
IF current_iteration % 3 == 0:
PRINT STATUS:
"Iteration {current_iteration}/{max_iterations}"
"Gaps fixed: {total_gaps - gaps_remaining}/{total_gaps}"
"Tier 1 coverage: {tier1_status}"
"Tier 2 coverage: {tier2_status}"
"Last restore test: {last_restore_result}"
Never ask to continue. Loop autonomously until all backup gaps are resolved or budget exhausted.
MECHANICAL CONSTRAINTS — NON-NEGOTIABLE:
1. NEVER treat a backup as valid until a restore test has succeeded.
2. NEVER store backups in the same failure domain as production (same region, same account).
3. ENCRYPT EVERY backup at rest — no exceptions for any data tier.
4. EVERY backup job MUST alert on failure — silent backup failures are the worst kind.
5. EVERY backup MUST have a TTL/retention policy — no infinite storage growth.
6. DEFINE RPO and RTO BEFORE designing backup strategy — business drives engineering.
7. git commit backup configurations BEFORE testing — baseline for debugging.
8. Automatic revert on regression: if backup config change causes production issues, revert immediately.
9. NEVER skip quarterly DR tests — schedule them and treat them as P1 obligations.
10. Log all backup operations in TSV:
TIMESTAMP\tASSET\tOPERATION\tSIZE\tDURATION\tSTATUS\tCHECKSUM
Print on completion: Backup: {asset_count} assets covered. RPO: {rpo}. RTO: {rto}. Last restore test: {last_test_date}. Encryption: {encryption_status}. Cross-region: {cross_region}. Verdict: {verdict}.
timestamp asset operation size duration_s status checksum
2024-01-15T03:00:00Z postgres-prod backup 12GB 180 success sha256:abc123
2024-01-15T03:05:00Z redis-prod backup 2GB 30 success sha256:def456
2024-01-15T04:00:00Z postgres-prod restore-test 12GB 300 success verified
Columns: timestamp, asset, operation(backup/restore-test/dr-drill), size, duration_s, status(success/failed/partial), checksum.
## Keep/Discard
KEEP if: improvement verified. DISCARD if: regression or no change. Revert discards immediately.
## Stop Conditions
Stop when: target reached, budget exhausted, or >5 consecutive discards.
name: backup description: Backup and disaster recovery. backup strategy, disaster recovery, RPO/RTO, data integrity, durability, runbook.
---
name: backup
description: Backup and disaster recovery. backup strategy, disaster recovery, RPO/RTO, data integrity, durability, runbook.
---
# Backup — Backup & Disaster Recovery
## Activate When
- User invokes `/godmode:backup`
- User says "backup strategy," "disaster recovery," "what happens if we lose the database?"
- User is designing data infrastructure that needs durability guarantees
- After `/godmode:infra` provisions stateful services (databases, storage, queues)
- Incident post-mortem reveals backup or recovery gaps
- Compliance requirements mandate backup and recovery documentation
## Workflow
### Step 1: Inventory Data Assets
Identify all data that needs protection:
```
DATA ASSET INVENTORY:
| Asset | Type | Size | Growth | Critical |
```
### Step 2: Define RPO/RTO Targets
Set recovery objectives for each data tier:
```
RECOVERY OBJECTIVES:
| Data Tier | RPO | RTO | Justification |
```
### Step 3: Backup Strategy Design
Design backup approach for each data tier:
#### Tier 1: Continuous Protection
```
TIER 1 BACKUP STRATEGY:
Primary database:
```
#### Tier 2: Periodic Snapshots
```
TIER 2 BACKUP STRATEGY:
File uploads (S3/GCS):
```
#### Tier 3: Daily Backups
```
TIER 3 BACKUP STRATEGY:
Application logs:
```
IF backup age >24h: trigger immediate backup.
IF restore test fails: alert and re-run.
### Step 4: Backup Verification
Automated checks that backups are actually working:
```
BACKUP VERIFICATION SCHEDULE:
| Check | Frequency | Method | Alert |
```
```
### Step 5: Data Integrity Verification
Verify backed-up data is consistent and usable:
```
DATA INTEGRITY CHECKS:
| Check | Method | Frequency |
|--|--|--|
| Row count consistency | Compare source vs | After each |
| | restored backup | restore test |
| Checksum verification | SHA-256 of backup | Every backup |
| | file | |
| Foreign key integrity | Run FK constraint | Weekly |
| | check on restored DB | restore |
| Application smoke test | Run app against | Monthly |
| | restored DB | restore |
| Point-in-time accuracy | Restore to specific | Quarterly |
| | time, verify records | |
| Cross-region consistency | Compare checksums | Weekly |
| | across regions | |
Integrity verification queries:
```sql
-- Row count comparison (run against source and restored)
SELECT table_name, n_live_tup
FROM pg_stat_user_tables
```
### Step 6: Recovery Procedures
Document step-by-step recovery for each failure scenario:
```
RECOVERY: Primary Database Failure
Severity: CRITICAL
RPO: < 1 minute (via streaming replication)
RTO: < 15 minutes (via automated failover)
AUTOMATED RESPONSE:
1. Health check detects primary is unresponsive (30 seconds)
2. Orchestrator promotes synchronous replica to primary (15 seconds)
3. Application connection pool reconnects to new primary (30 seconds)
4. DNS/service discovery updated (60 seconds)
5. Alert sent to on-call engineer
6. Total automated recovery: < 3 minutes
MANUAL RESPONSE (if automated failover fails):
1. Verify primary is truly down (not a network partition)
$ pg_isready -h <primary-host>
2. Check replica lag
$ psql -h <replica-host> -c "SELECT pg_last_wal_replay_lsn();"
3. Promote replica manually
$ pg_ctl promote -D /var/lib/postgresql/data
4. Update connection string in application config
5. Restart application instances
6. Verify application is serving traffic
POST-RECOVERY:
1. Provision new replica from promoted primary
2. Verify replication is streaming
3. Update monitoring and alerting
4. Write incident report
```
#### Scenario 2: Data Corruption
```
RECOVERY: Data Corruption — Severity: HIGH, RTO: 15min-2h
1. STOP: Identify scope, disable source (bad migration, broken code)
2. RECOVER: Point-in-time restore (recent) | Snapshot restore (widespread) | Selective table restore (targeted)
3. VERIFY: Row counts, smoke tests, no orphaned records
4. POST-MORTEM: Root cause, prevention, detection/recovery speed
```
#### Scenario 3: Complete Region Failure
```
RECOVERY: Region Failure — Severity: CRITICAL, RPO: <1min, RTO: <30min
1. Detect failure (monitoring + cloud status page)
2. Activate DR: promote cross-region replica, verify storage, scale instances, update DNS (TTL 60s)
3. Verify DR serving traffic, communicate to stakeholders
RETURN TO PRIMARY: Wait 24h+, reverse replication, verify consistency, canary traffic shift
```
### Step 7: Disaster Recovery Runbook
Generate a comprehensive runbook document:
```
DISASTER RECOVERY RUNBOOK
Last tested: <date>
Next test scheduled: <date>
Owner: <team/person>
On-call escalation: <contact chain>
Recovery objectives:
| Tier 1 RPO: < 1 min | RTO: < 15 min |
|--|--|
| Tier 2 RPO: < 1 hour | RTO: < 1 hour |
| Tier 3 RPO: < 24 hour | RTO: < 4 hours |
Scenarios covered:
1. Primary database failure → Page 3
2. Data corruption → Page 5
3. Complete region failure → Page 8
4. Ransomware / security breach → Page 11
5. Accidental data deletion → Page 13
6. Cloud provider outage → Page 15
Backup status:
Database: <HEALTHY | DEGRADED | FAILED>
File storage: <HEALTHY | DEGRADED | FAILED>
Configuration: <HEALTHY | DEGRADED | FAILED>
Secrets: <HEALTHY | DEGRADED | FAILED>
Last successful restore test: <date> (<result>)
Last DR failover test: <date> (<result>)
```
### Step 8: Backup & DR Report
```
BACKUP & DISASTER RECOVERY REPORT
Data assets inventoried: <N>
Backup strategies defined: <N>
Recovery procedures documented: <N> scenarios
Coverage:
Tier 1 (critical): <PROTECTED | GAPS | UNPROTECTED>
Tier 2 (important): <PROTECTED | GAPS | UNPROTECTED>
Tier 3 (operational): <PROTECTED | GAPS | UNPROTECTED>
Verification:
Automated checks: <CONFIGURED | PARTIAL | MISSING>
Last restore test: <date | NEVER>
Last DR test: <date | NEVER>
Gaps identified: <N>
1. <gap description and remediation>
2. <gap description and remediation>
Verdict: <PROTECTED | PARTIAL | AT RISK>
```
### Step 9: Commit and Transition
Save runbook as `docs/dr/<date>-disaster-recovery-runbook.md`
```bash
# Test backup and restore procedures
pg_dump -Fc mydb > backup_test.dump
pg_restore -d mydb_test backup_test.dump
psql mydb_test -c "SELECT count(*) FROM users;"
```
```bash
# Verify backup and test restore
pg_dump --format=custom -f backup.dump $DATABASE_URL
pg_restore --list backup.dump
curl -s http://localhost:8080/health
```
## Auto-Detection
```
1. Data stores: grep for postgres, mysql, mongodb, redis connection strings
2. Object storage: grep for S3, GCS, Azure Blob configs
3. Existing backups: check crontab, CI jobs, WAL archiving configs
4. No backups → CRITICAL gap. No verification → HIGH gap.
```
## Explicit Loop Protocol
```
BACKUP VERIFICATION LOOP:
current_iteration = 0
max_iterations = 10
gaps_remaining = total_gaps_found
WHILE gaps_remaining > 0 AND current_iteration < max_iterations:
current_iteration += 1
1. SELECT highest-severity backup gap
2. IMPLEMENT fix:
- Missing backup → create backup job/config
- No verification → add automated integrity check
- No cross-region → configure replication
- No restore test → create and run restore test
3. git commit: "backup: fix <gap> (iter {current_iteration})"
4. VERIFY the fix:
- Backup job runs successfully
- Backup file is valid (checksum, header check)
- Restore test passes (if applicable)
5. IF verification fails:
- Debug configuration
- Retry with adjusted parameters
6. UPDATE gaps_remaining
IF current_iteration % 3 == 0:
PRINT STATUS:
"Iteration {current_iteration}/{max_iterations}"
"Gaps fixed: {total_gaps - gaps_remaining}/{total_gaps}"
"Tier 1 coverage: {tier1_status}"
"Tier 2 coverage: {tier2_status}"
"Last restore test: {last_restore_result}"
```
<!-- tier-3 -->
## Quality Targets
- RPO Tier 1: <1h data loss window
- RTO Tier 1: <15min recovery time
- Restore success: >99% verified
## HARD RULES
Never ask to continue. Loop autonomously until all backup gaps are resolved or budget exhausted.
```
MECHANICAL CONSTRAINTS — NON-NEGOTIABLE:
1. NEVER treat a backup as valid until a restore test has succeeded.
2. NEVER store backups in the same failure domain as production (same region, same account).
3. ENCRYPT EVERY backup at rest — no exceptions for any data tier.
4. EVERY backup job MUST alert on failure — silent backup failures are the worst kind.
5. EVERY backup MUST have a TTL/retention policy — no infinite storage growth.
6. DEFINE RPO and RTO BEFORE designing backup strategy — business drives engineering.
7. git commit backup configurations BEFORE testing — baseline for debugging.
8. Automatic revert on regression: if backup config change causes production issues, revert immediately.
9. NEVER skip quarterly DR tests — schedule them and treat them as P1 obligations.
10. Log all backup operations in TSV:
TIMESTAMP\tASSET\tOPERATION\tSIZE\tDURATION\tSTATUS\tCHECKSUM
```
## Output Format
Print on completion: `Backup: {asset_count} assets covered. RPO: {rpo}. RTO: {rto}. Last restore test:
{last_test_date}. Encryption: {encryption_status}. Cross-region: {cross_region}. Verdict: {verdict}.`
```
timestamp asset operation size duration_s status checksum
2024-01-15T03:00:00Z postgres-prod backup 12GB 180 success sha256:abc123
2024-01-15T03:05:00Z redis-prod backup 2GB 30 success sha256:def456
2024-01-15T04:00:00Z postgres-prod restore-test 12GB 300 success verified
```
Columns: timestamp, asset, operation(backup/restore-test/dr-drill), size, duration_s,
status(success/failed/partial), checksum.
## Success Criteria
```
## Keep/Discard
KEEP if: improvement verified. DISCARD if: regression or no change. Revert discards immediately.
## Stop Conditions
Stop when: target reached, budget exhausted, or >5 consecutive discards.
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
61/100
Promising
Trust
53/100
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"production_outcomes": 0,
"last_outcome_at": null,
"label": "No agent outcome data yet"
},
"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"best_for": [
"data-analysis",
"agent-skill"
],
"known_risks": [
"No explicit setup or prerequisites section, though not strictly required.",
"Low GitHub adoption signal",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 26 GitHub stars",
"Stars/forks activity: 26 stars, 7 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 71,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"No explicit setup or prerequisites section, though not strictly required.",
"Some templates are placeholders (e.g., 'Primary database:') without concrete examples for non-Postgres databases.",
"Low GitHub adoption signal",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 26 GitHub stars"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 61,
"label": "Promising"
},
"supply": {
"track": "Data, BI, and analytics",
"scenario": "Research agents",
"maintenance": "27d since push",
"risk": "Needs review"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"Low GitHub adoption signal",
"No explicit setup or prerequisites section, though not strictly required.",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Some templates are placeholders (e.g., 'Primary database:') without concrete examples for non-Postgres databases."
],
"agent_contract": {
"task_input": "Use backup in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 61/100 Manual review",
"Audit: 71/100 Needs review",
"Safety: 27/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "arbazkhan971-backup (backup)",
"install_command": "npx skills add arbazkhan971/godmode --skill backup",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "arbazkhan971-backup",
"task": "Use backup in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/arbazkhan971-backup",
"api": "https://www.openagentskill.com/api/agent/skills/arbazkhan971-backup",
"audit": "https://www.openagentskill.com/skills/arbazkhan971-backup/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=arbazkhan971-backup&task=Use%20backup%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20backup%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20backup%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/arbazkhan971-backup/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/arbazkhan971-backup"
}
}Listing source
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Do not auto-install
Audit
71/100
Needs review
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.