Borrowing it
Nothing to install: this file belongs to ubie-oss/dbt-data-privacy. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ubie-oss/dbt-data-privacy/main/.claude/skills/lint-and-fix/SKILL.mdgit clone --depth 1 https://github.com/ubie-oss/dbt-data-privacyWrote 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/ubie-oss/dbt-data-privacy/lint-and-fix)<a href="https://agentmods.dev/skills/ubie-oss/dbt-data-privacy/lint-and-fix"><img src="https://agentmods.dev/badge/skills/ubie-oss/dbt-data-privacy/lint-and-fix/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/ubie-oss/dbt-data-privacy/lint-and-fix"><img src="https://agentmods.dev/badge/skills/ubie-oss/dbt-data-privacy/lint-and-fix.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 | $0.00031 | $0.00351 |
| Opus 5 | $0.00015 | $0.00176 |
| Sonnet 5 | $0.00006 | $0.00070 |
| Haiku 4.5 | $0.00003 | $0.00035 |
Grade A, and why
lint-and-fix 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 11d 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
Lint and Fix
Purpose
This skill provides an autonomous loop to identify, fix, and verify linter violations in the codebase using the project's make lint command (which runs pre-commit).
Loop Logic
- Identify: Run
make lintfrom the workspace root to list current violations. - Analyze: Examine the linter output to understand which files and rules are failing.
- Fix: Apply targeted fixes for the identified violations.
- Many linters in
pre-commit(likeblack,ruff,prettier) can auto-fix issues. - If
pre-commitauto-fixes files, review the changes. - If manual fixes are required, apply the minimum necessary change to resolve each error.
- Many linters in
- Verify: Re-run
make lint.- If all checks pass: Termination.
- If new or remaining failures exist: Analyze the failure and repeat the loop.
Termination Criteria
make lintexits with code 0 (all checks passed).- Reached max iteration limit of 5 attempts.
- No progress being made (same errors persisting despite fix attempts).
Examples
Scenario: Fixing formatting and imports
make lintfails withruffandblackerrors.- Agent runs
make lintagain (some linters auto-fix). - Agent reviews auto-fixed changes.
make lintpasses.
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.
- 11d ago First seen · 38 lines · 31 tokens per session scan A 370dc8469096
lint-and-fix is a skill published in the GitHub repository ubie-oss/dbt-data-privacy (22 stars, last pushed 9d ago), licensed Apache-2.0. It adds 31 tokens to every session and 351 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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