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.
git clone --depth 1 https://github.com/korovin-aa97/talkthrough-mcpWrote 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/commands/korovin-aa97/talkthrough-mcp/correlate-with-logs)<a href="https://agentmods.dev/commands/korovin-aa97/talkthrough-mcp/correlate-with-logs"><img src="https://agentmods.dev/badge/commands/korovin-aa97/talkthrough-mcp/correlate-with-logs/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/commands/korovin-aa97/talkthrough-mcp/correlate-with-logs"><img src="https://agentmods.dev/badge/commands/korovin-aa97/talkthrough-mcp/correlate-with-logs.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 | $0.00013 | $0.00413 |
| Opus 5 | $0.00006 | $0.00206 |
| Sonnet 5 | $0.00003 | $0.00083 |
| Haiku 4.5 | $0.00001 | $0.00041 |
Grade A, and why
correlate-with-logs 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 12d 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
If no job_id was passed as an argument: call list_jobs() to find the right recording, or process_media(path) if the user gave a file path — then follow the workflow below with that job_id.
You are debugging with two evidence streams: a narrated recording (talkthrough
job $ARGUMENTS) and system logs the user can access. Pair spoken/visible moments
with log lines using wall-clock time.
Method
- Confirm the job's wall-clock anchor: list_jobs() shows wall_clock.start and its confidence. If wall_clock is null or confidence is "low", ask the user for the recording start time, then re-anchor with process_media(path=..., recorded_at="<ISO 8601>", force=true) before correlating.
- Find the incident moments: search(job_id="$ARGUMENTS", query="") and/or get_transcript ranges. Every hit carries t_wall.
- For each moment, compute the log window t_wall ± 30 s and read the user's logs there (ask the user to run the grep if you cannot access the log source directly).
- Pull the matching visual state with get_moment(job_id="$ARGUMENTS", start_ms=..., end_ms=...) — the OCR text often contains the on-screen error that names the failing component.
Output
A markdown incident walkthrough: one section per correlated moment with (a) the narrator's quote + t_wall, (b) the matching log lines, (c) the frame ref showing the screen, and (d) your read of cause vs. symptom. Close with a "Confidence and gaps" note: which correlations are exact (t_wall confidence "exact"/"high") and which are approximate ("medium"/"low" — mtime-derived anchors drift). Quote remarks verbatim in their original language.
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.
- 12d ago First seen · 34 lines · 13 tokens per session scan A 0124d9688904
correlate-with-logs is a command published in the GitHub repository korovin-aa97/talkthrough-mcp (29 stars, last pushed 6d ago), licensed MIT. It adds 13 tokens to every session and 413 once invoked, about $0.0001 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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