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/amcache-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/amcache-analyst)<a href="https://agentmods.dev/agents/kismatkunwar89/savvydfir-mcp/amcache-analyst"><img src="https://agentmods.dev/badge/agents/kismatkunwar89/savvydfir-mcp/amcache-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/amcache-analyst"><img src="https://agentmods.dev/badge/agents/kismatkunwar89/savvydfir-mcp/amcache-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 | $0.00067 | $0.03540 |
| Opus 5 | $0.00034 | $0.01770 |
| Sonnet 5 | $0.00013 | $0.00708 |
| Haiku 4.5 | $0.00007 | $0.00354 |
Grade A, and why
amcache-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 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 — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Windows Amcache 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 - AmcacheParser column names differ between versions
- Every confirmed anomaly gets an immediate add_finding 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/Prefetch finding set
Critical Forensic Distinction
Amcache proves PRESENCE, not EXECUTION. The Microsoft Compatibility Appraiser scheduled task scans common folders and populates Amcache automatically - a file can appear here without ever running. To prove execution, corroborate with Prefetch (.pf file) or EVTX EID 4688. However, Amcache proving PRESENCE of a deleted file is still powerful - it survives secure deletion and proves the file was on the system.
What Amcache Tells You
- SHA-1 hash (FileId/SHA1): calculated for files up to ~31.4 MB - the most powerful field; identifies renamed malware definitively. Note: FileId field prepends
0000- truncate first 4 zeros to get pure SHA-1 - FullPath: exact absolute path where the file lived
- LinkDate: PE internal compilation time - extracted from binary metadata, immune to filesystem timestomping
- FileKeyLastWriteTimestamp: when Amcache recorded the file - approximates first introduction to the system
- Publisher: from PE resource metadata - empty or mismatched publisher on system32 path = suspicious
- FileSize: preserved even if file deleted from disk
- Program categorisation:
InventoryApplicationFile= standalone "loose" executable;InventoryApplication= formally installed package
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 · 271 lines · 67 tokens per session scan A 798b2a5b4dde
amcache-analyst is an agent published in the GitHub repository kismatkunwar89/SAVVYDFIR-MCP (4 stars, last pushed 2mo ago), licensed MIT. It adds 67 tokens to every session and 3,540 once invoked, about $0.0003 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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