gap-acknowledgment
Skill0 starsChanged 5 months agoApache-2.0View on GitHub
Discipline for acknowledging what we don't know. Calling out gaps explicitly via a `confidence='unknown'` finding is a strength signal — judges score honesty positively and detect inflated claims fast. This skill teaches when to refuse vs. when to assert.
In this repository13 other files it gives its agents.
- accuracy-reportSkill
- containment-recommenderSkill
- evidence-pinSkill
- exec-reportSkill
- ir-narrativeSkill
- linux-triageSkill
- macos-triageSkill
- memory-forensicsSkill
- remediation-plannerSkill
- self-correctSkill
- threat-huntingSkill
- triage-orchestratorSkill
- windows-triageSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 2 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Don't flood the audit log with trivial "couldn't determine X" entries — gaps should be substantive
- Distinctive: line 24
Don't acknowledge to dodge work.
- Very specific: line 34
Read orchestrator/src/mh_orchestrator/handle_dump_registry.py (or call handle_dump_registry.targets_for_process(name)) to get the list of …
- Very specific: line 35
Run mcp__protocol_sift__memory_volatility with plugin=windows.dumpfiles args=["--pid", "<PID>"].
- Very specific: line 44
Call finding_record with confidence='unknown', a single pin pointing at the artifact you couldn't conclude on, and a claim describing the …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Gap Acknowledgment
"I don't know" is a valid output. Use it.
When To Acknowledge a Gap
| Situation | Action |
| Tool failed with no fallback that produces same evidence class | acknowledge + note alternative attempted |
| Symbol table missing for memory dump | acknowledge — do NOT invent process names |
| Encrypted artifact (Signal DB without keychain access) | acknowledge — do NOT speculate on contents |
| Evidence corrupted / partial | acknowledge — note recoverable vs unrecoverable |
Single ambiguous artifact, not enough to pin confidence higher than uncertain | EITHER pin as uncertain OR acknowledge gap, not both |
| Question outside scope (e.g., asked about Linux when only Windows evidence ingested) | acknowledge — do NOT extrapolate |
When NOT To Acknowledge
- Don't flood the audit log with trivial "couldn't determine X" entries — gaps should be substantive
- Don't acknowledge to dodge work; if the evidence is available, do the analysis
Pre-Gate: Handle-Dump Discipline (HARD requirement)
Before recording any gap whose claim contains the phrases "memory cap" / "memory only" / "from memory alone" / "cannot recover" / "irrecoverable from this image", you MUST first attempt windows.dumpfiles --pid <PID> against every process that holds a relevant file handle.
Cloud-sync clients (OneDrive, Drive FS, Dropbox), messaging apps (Slack, Teams), browsers (Chrome, Edge, Firefox), mail clients (Outlook), and shells (Explorer) keep high-value logs/databases cached in their working set. The Rocba case (case-id rocba-memory, 2026-05) lost real investigative time recording G-2: specific files exfiltrated unknowable from memory while the OneDrive AODL was a live handle on PID 9648; one windows.dumpfiles --pid 9648 recovered downloads3.txt (49 SharePoint download events) and Fred's user-state .dat (≈30 SRL filenames), collapsing G-2 entirely.
Procedure:
- Read
orchestrator/src/mh_orchestrator/handle_dump_registry.py(or callhandle_dump_registry.targets_for_process(name)) to get the list of file patterns worth recovering for that process. - Run
mcp__protocol_sift__memory_volatilitywithplugin=windows.dumpfiles args=["--pid", "<PID>"]. - Filter the dump output for the registered patterns (
.aodl,downloads3.txt,drive_fs.db,places.sqlite, etc.). - Decode (UTF-16-LE for OneDrive logs; SQLite for browser DBs; JSON for Slack).
- Only after that — if the patterns aren't in the dump output OR the pages were paged out at capture — is the gap legitimate. Record the gap with the dumpfiles attempt named explicitly in the claim text so the verifier can confirm.
A gap of the form "memory only — can't tell" without a paired windows.dumpfiles audit event in the same case output is a doctrine violation, not a finding.
Format
Call finding_record with confidence='unknown', a single pin pointing at the artifact you couldn't conclude on, and a claim describing the gap:
mcp__protocol_sift__finding_record(
finding_id="GAP-001",
claim="Cannot determine cridex.exe network destinations: netscan returned no entries for PID 1484. Possible causes: (a) connections closed before snapshot, (b) memory paged out, (c) covert channel not visible to netscan. Insufficient evidence to choose.",
confidence="unknown",
pins=[{
"artifact": "/input/memory.raw",
"tool": "memory_volatility",
"locator": {"type": "memory_vad", "value": "PID:1484"},
"raw_excerpt": "netscan: 0 records for PID 1484",
"captured_at": "<iso8601>"
}]
)The claim field is read by the accuracy-report skill and surfaced in the final report. Make it specific.
Demo Value
Calling out 3-5 honest gaps in the demo video sets MemoryHound apart. Most teams will hide or paper over uncertainty. Judges notice.
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