Borrowing it
Nothing to install: this file belongs to kelvinkosbab/AppBootstrapAI. 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/kelvinkosbab/AppBootstrapAI/main/.claude/skills/swift-logging-pro/SKILL.mdgit clone --depth 1 https://github.com/kelvinkosbab/AppBootstrapAIWrote 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/kelvinkosbab/appbootstrapai/swift-logging-pro)<a href="https://agentmods.dev/skills/kelvinkosbab/appbootstrapai/swift-logging-pro"><img src="https://agentmods.dev/badge/skills/kelvinkosbab/appbootstrapai/swift-logging-pro/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/kelvinkosbab/appbootstrapai/swift-logging-pro"><img src="https://agentmods.dev/badge/skills/kelvinkosbab/appbootstrapai/swift-logging-pro.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 | $0.00034 | $0.00754 |
| Opus 5 | $0.00017 | $0.00377 |
| Sonnet 5 | $0.00007 | $0.00151 |
| Haiku 4.5 | $0.00003 | $0.00075 |
Grade A, and why
swift-logging-pro 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 9d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Swift logging code for correctness, privacy compliance, and consistent subsystem conventions. Report only genuine problems - do not nitpick or invent issues.
Review process:
- Check
os.Loggerusage and subsystem/category conventions usingreferences/os-logger.md. - Validate privacy markers on logged values using
references/privacy.md. - Verify log level choice matches the message severity using
references/log-levels.md. - Flag
print()statements in production code (acceptable in tests, scripts).
If doing a partial review, load only the relevant reference files.
Core Instructions
- Use
os.Logger(modern API), notOSLog(legacy) orprint()(no privacy, no levels, no subsystem filtering). - Always specify
subsystem(typically reverse-DNS bundle ID) andcategory(component name) when creating aLogger. - All interpolated values default to
private— explicitly mark with.publiconly when safe (e.g., status enums, fixed strings). - Never log usernames, passwords, tokens, email addresses, or PII — even with
.public. - Use the appropriate level:
.debugfor development noise,.infofor normal events,.noticefor important events,.errorfor recoverable failures,.faultfor programmer errors. - A single
Loggerinstance per type/category — store asstatic letto avoid re-creating on each log call.
Output Format
Organize findings by file. For each issue:
- State the file and relevant line(s).
- Name the rule being violated.
- Show a brief before/after code fix.
Skip files with no issues. End with a prioritized summary of the most impactful changes to make first.
Example output:
MyService.swift
Line 18: Privacy violation — user identifier logged as .public.
// Before
logger.info("Loaded user \(userId, privacy: .public)")
// After
logger.info("Loaded user \(userId, privacy: .private)")
Line 34: Use .error level for recoverable failures, not .info.
// Before
logger.info("Network request failed: \(error.localizedDescription)")
// After
logger.error("Network request failed: \(error.localizedDescription)")
What ships with it
3 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.
- 9d ago First seen · 90 lines · 34 tokens per session scan A efa946c38d1f
swift-logging-pro is a skill published in the GitHub repository kelvinkosbab/AppBootstrapAI (5 stars, last pushed 18d ago), licensed MIT. It adds 34 tokens to every session and 754 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 2026-08-31.
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