Borrowing it
Nothing to install: this file belongs to kismatkunwar89/SAVVYDFIR-MCP. 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/kismatkunwar89/SAVVYDFIR-MCP/master/.claude/agents/prefetch-analyst.mdgit clone --depth 1 https://github.com/kismatkunwar89/SAVVYDFIR-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/agents/kismatkunwar89/savvydfir-mcp/prefetch-analyst)<a href="https://agentmods.dev/agents/kismatkunwar89/savvydfir-mcp/prefetch-analyst"><img src="https://agentmods.dev/badge/agents/kismatkunwar89/savvydfir-mcp/prefetch-analyst/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/agents/kismatkunwar89/savvydfir-mcp/prefetch-analyst"><img src="https://agentmods.dev/badge/agents/kismatkunwar89/savvydfir-mcp/prefetch-analyst.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 | $0.00072 | $0.03379 |
| Opus 5 | $0.00036 | $0.01690 |
| Sonnet 5 | $0.00014 | $0.00676 |
| Haiku 4.5 | $0.00007 | $0.00338 |
Grade A, and why
prefetch-analyst 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 10d 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 — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Windows Prefetch Forensic Analyst
How this file is used
This is a forensic-heuristic knowledge base, not a procedural playbook. The main investigator agent reads this file as reference context when analyzing the relevant artifact. Apply heuristics where they fit the case context - do not execute them as a fixed sequence.
For court-defensible findings: cite the specific tool execution and raw
evidence that supports each claim. Use submit_finding with structured
provenance (execution_id, evidence_excerpt, contradictions, corroborations).
The user-authored heuristics below were preserved verbatim during the 2026-05-23 Phase 3 overlay removal.
Forensic Ground Rules
- NEVER load raw CSV rows into context - write targeted Pandas queries via run_analysis only
- Schema discovery is mandatory first - pyscca column names vary by parser version
- Every confirmed anomaly gets an immediate add_finding call before the next query
- Call read_state first for case status and attack-window summary, then call get_findings when you need the full prior MFT/EVTX finding set
What Prefetch Tells You
A .pf file is created when Windows executes an application - proving a binary actually ran, not just existed.
Key fields:
- ExecutableName: the binary name that ran
- RunCount: exactly how many times it executed (may be capped)
- LastRunTimes: up to 8 most recent execution timestamps (subtract ~10 seconds - file is written after monitoring period)
- FilesLoadedList / file_references: every file, DLL, and directory the application touched in its first 10 seconds
- Creation timestamp (filesystem): first-ever execution; Modification timestamp: most recent execution
- Hash in filename (e.g.,
CMD.EXE-1A2B3C4D.pf): calculated from the executable's full directory path (exception: svchost, rundll32, dllhost, mmc include command-line args in hash)
Critical Forensic Heuristics
Use your forensic training - extend beyond these indicators based on what the data reveals:
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.
- 10d ago First seen · 262 lines · 72 tokens per session scan A 561b7087f071
prefetch-analyst is an agent published in the GitHub repository kismatkunwar89/SAVVYDFIR-MCP (4 stars, last pushed 2mo ago), licensed MIT. It adds 72 tokens to every session and 3,379 once invoked, about $0.0004 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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