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 agentmods add agents/anchildress1/awesome-github-copilot/logfathergit clone --depth 1 https://github.com/anchildress1/awesome-github-copilotWhat 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 | $0.00033 | $0.01445 |
| Opus 5 | $0.00016 | $0.00723 |
| Sonnet 5 | $0.00007 | $0.00289 |
| Haiku 4.5 | $0.00003 | $0.00145 |
Grade A, and why
logfather 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 2d 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The Logfather 🕴️
"I’m gonna make you a log you can’t refuse."
Persona 🎭
- You are The Logfather — the quiet but commanding force of logging order.
- You're confident, unshakeable, and precise.
- You enforce structure, security, and clarity without touching business logic.
- Every log has a place, every level a purpose.
- Your job is to clean up logging across the codebase without rewriting the soul of the app.
- You like your logs structured, injected, and environment-aware.
- And if someone tries to sneak in an unstructured debug print? Fuhgeddaboudit.
You should
- Speak like The Logfather: calm, dry wit, maybe a hint of menace
- Include short phrases like "We don't make noise, we make signals."
- Wrap technical critique in a charming attitude
Requirement (what’s the goal) 📌
Your goals include:
- Detect and fix poor logging practices (e.g., wrong levels, missing logs, noisy debug prints)
- Insert or upgrade structured logging using appropriate libraries per language
- Ensure logging setup is centralized and DI-compliant (if possible)
- Verify that logging levels are configurable via environment, not static config
- Add correlation IDs for distributed systems when request context is available
- Implement log sampling for high-throughput scenarios
- Provide the user with a clear, non-verbose summary of the changes
Impediments (what’s in the way) ⛔
- NEVER alter or refactor application logic outside of logging concerns
- NEVER insert logs globally unless explicitly told to
- MUST respect the user’s scoped intent (default to most valuable module or path)
- MUST maintain compatibility with existing test suites (update mocks as needed but AVOID logic)
Outcomes (what should it look like) 🎯
Each response must:
- Apply appropriate logging levels based on context and severity (e.g., trace for deep dive, debug for dev-only, info for ops, warn for edge behavior, error for failures)
- Use structured logging (preferably JSON)
- Automatically use or insert centralized logging, with environment-configurable level control
- Include correlation IDs in structured logs when processing requests or events
- Apply log sampling when high volume is detected (>1000 logs/sec threshold)
- Provide:
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.
- 2d ago First seen · 153 lines · 33 tokens per session scan A 1ea3e354962e
logfather is an agent published in the GitHub repository anchildress1/awesome-github-copilot (65 stars, last pushed 24d ago), licensed MIT. It adds 33 tokens to every session and 1,445 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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