Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/vaquarkhan/data-engineering-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/vaquarkhan/data-engineering-agent-skills/backfill)<a href="https://agentmods.dev/commands/vaquarkhan/data-engineering-agent-skills/backfill"><img src="https://agentmods.dev/badge/commands/vaquarkhan/data-engineering-agent-skills/backfill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/vaquarkhan/data-engineering-agent-skills/backfill"><img src="https://agentmods.dev/badge/commands/vaquarkhan/data-engineering-agent-skills/backfill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00176 |
| Opus 5.5 | $0.00000 | $0.00070 |
| Sonnet 5.5 | $0.00000 | $0.00035 |
| Haiku 4.5 | $0.00000 | $0.00018 |
Grade A, and why
backfill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/backfill
Use replay-safe workflows before rerunning, replaying, or cutting over data.
Checklist:
- load
safe-backfill-and-replay-orchestrationfirst — drafttemplates/backfill-plan.yamlbefore any execution - run
hooks/backfill-guard.shorhooks/backfill-guard.ps1when available - load
orchestration-and-backfillsfor schedule, retry, and dependency semantics - load
data-migration-and-platform-cutoverfor cutovers or dual-run changes - load
data-reconciliation-and-financial-controlswhen correctness must be proven after replay - load
mcp-data-observability-integrationwhen live lag or run state should inform the replay window - define the affected window, rollback path, and reconciliation gates before execution
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 14 lines · 0 tokens per session scan A 6a4e1654a2f7
backfill is a command published in the GitHub repository vaquarkhan/data-engineering-agent-skills (62 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 176 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
backfill compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| backfillvaquarkhan/data-engineering-agent-skills | Command | 62 | 4mo ago | MIT | A | 0 | Claude Code |
| initfcakyon/claude-codex-settings | Command | 1.2k | yesterday | Apache-2.0 | A | 0 | Claude Code |
| cleanupChappygo-OS/Atomic-Spec | Command | 10 | 1mo ago | MIT | A | 17 | Claude Code |
| start-12-4.esminicoohei/ai-agent-camp | Command | 347 | 1mo ago | none | A | 2 | Claude Code |
| pn-audit-dataperniemann/pnCore | Command | 0 | 5d ago | MIT | A | 42 | Claude Code, Cursor |
| integrity-plankensaurus/cursor-kenji | Command | 9 | 1mo ago | MIT | A | 17 | Claude Code |
| design-data-modelAmey-Thakur/AI-SKILLS | Command | 13 | 2mo ago | MIT | A | 19 | Claude Code |