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 yeaight7/agent-powerups --skill log-driven-diagnosisgit clone --depth 1 https://github.com/yeaight7/agent-powerupsWrote 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/yeaight7/agent-powerups/log-driven-diagnosis)<a href="https://agentmods.dev/skills/yeaight7/agent-powerups/log-driven-diagnosis"><img src="https://agentmods.dev/badge/skills/yeaight7/agent-powerups/log-driven-diagnosis/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/yeaight7/agent-powerups/log-driven-diagnosis"><img src="https://agentmods.dev/badge/skills/yeaight7/agent-powerups/log-driven-diagnosis.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 | $0.00026 | $0.00679 |
| Opus 5.5 | $0.00010 | $0.00272 |
| Sonnet 5.5 | $0.00005 | $0.00136 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
log-driven-diagnosis 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 1mo 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
When you cannot step through code, logs are your only visibility. Be methodical about extracting signal from noise — never dump whole log files into context.
When to Use
- Runtime failures where a debugger cannot be attached
- Distributed systems where the failure spans services
- Issues reproducible only from log evidence
Inputs
- Log files or a log explorer covering the incident window
- The incident timestamp and, if available, a request/trace ID
Workflow
-
Time-bound the search. Never dump the whole log file — always
grepfor timestamps around the reported incident, or usetail:tail -n 200 app.log # most recent context grep -n "2026-06-06T14:0" app.log # window around the incident awk '/14:02:00/,/14:05:00/' app.log # bounded slice between timestamps -
Identify the request ID. If the system uses distributed tracing or request IDs, find the ID associated with the error, then search the log corpus for only that ID to trace the complete lifecycle of the failed request:
grep -n "ERROR" app.log | head -5 # find the failing entry and its ID grep -n "<request-id>" app.log # full lifecycle of that request # structured (JSON) logs: jq -c 'select(.request_id == "<request-id>")' app.log.json -
Look for preceding warnings. The
ERRORlog is usually just the final crash. The actual root cause is often aWARNINGor unexpectedINFOlog that occurred milliseconds earlier (e.g., a connection retry failing, or an empty array being returned):grep -n -B 20 "<error-text>" app.log | grep -inE "warn|retry|timeout|empty" -
Add missing logs. If the logs do not provide enough visibility, your first action must be to add temporary logging to the application, reproduce the bug, and gather the new signals. Do not guess blindly if the logs are insufficient.
Output
- The traced lifecycle of the failing request
- The suspected root-cause log line(s), including any preceding warnings
- Any temporary logging added (flagged for later removal)
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.
- 1mo ago First seen · 66 lines · 26 tokens per session scan A 508acc0f3ed1
log-driven-diagnosis is a skill published in the GitHub repository yeaight7/agent-powerups (6 stars, last pushed 19d ago), licensed Apache-2.0. It adds 26 tokens to every session and 679 once invoked, about $0.0001 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 2026-09-14.
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