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.
npx skills add jqaisystems/jqai-ai-skills --skill backup-readiness-auditorgit clone --depth 1 https://github.com/jqaisystems/jqai-ai-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/skills/jqaisystems/jqai-ai-skills/backup-readiness-auditor)<a href="https://agentmods.dev/skills/jqaisystems/jqai-ai-skills/backup-readiness-auditor"><img src="https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/backup-readiness-auditor/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/skills/jqaisystems/jqai-ai-skills/backup-readiness-auditor"><img src="https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/backup-readiness-auditor.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 | $0.00052 | $0.00519 |
| Opus 5.5 | $0.00021 | $0.00208 |
| Sonnet 5.5 | $0.00010 | $0.00104 |
| Haiku 4.5 | $0.00005 | $0.00052 |
Grade A, and why
backup-readiness-auditor 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 32 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Backup Readiness Auditor
Separate a prepared backup procedure from evidence that the selected data can be recovered.
Workflow
-
Ask for the intended scope, evidence cutoff, and an approved metadata-only evidence pack. Do not search personal drives or application profiles to fill gaps.
-
Read the evidence contract. Map each required dataset to its own verification evidence. Keep unknowns explicit; a missing row is not an exclusion.
-
Use the standard-library helper when the pack follows version 1:
python scripts/audit_backup.py --input evidence.json --as-of 2026-10-14T12:00:00Z --jsonIt reads only that JSON file and writes to stdout. Redirect output only to a user-approved private location. It does not inspect source/destination folders, fetch cloud files, or verify the claims independently.
-
Investigate gaps with the user. File counts, matching sizes, a healthy disk, a successful copy command, or an encrypted archive alone do not establish recoverability. Distinguish hash verification, stable snapshot evidence, coverage, and an isolated restore test.
-
Return the evidence verdict, reasons, required follow-up checks, and evidence cutoff. Use the report template for a fuller handoff.
Decisions and boundaries
BLOCKED: supplied evidence reports a failed check or missing required dataset.REVIEW: no known failure, but evidence is incomplete, stale, future-dated, or untested.EVIDENCE_COMPLETE: the supplied pack satisfies these checks. This is not independent certification of a backup and never permission to format, delete, or retire an original.- Do not infer credential portability, cloud synchronization, encryption, or application consistency from filenames or installation state.
- Do not open browser profiles, account exports, access files, databases, or configuration contents. Do not copy, decrypt, restore, mount, schedule, install, or change permissions.
- Keep real evidence packs and reports private. Public tests use fictional dataset IDs and synthetic counts, never actual inventories, account information, volume identifiers, or machine paths.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 32 lines · 52 tokens per session scan A 87495dc43ec2
backup-readiness-auditor is a skill published in the GitHub repository jqaisystems/jqai-ai-skills (3 stars, last pushed 4d ago), licensed MIT. It adds 52 tokens to every session and 519 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-15.
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