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Intelligence View
⚡ tsecurity.de Intelligence

Using AI to Build Your Year-End Performance Case

Most engineers lose their appraisals in June. Not because they underperformed — because they forgot what they shipped. Your manager tracks 8-12 reports across 40 weeks. If you walk into December with "I think I did good work?" you've a…

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Most engineers lose their appraisals in June. Not because they underperformed — because they forgot what they shipped. Your manager tracks 8-12 reports across 40 weeks. If you walk into December with "I think I did good work?" you've already lost.



The problem is mechanical. Brag documents require weekly discipline most people don't have. Miss one week, friction compounds, you stop forever. Claude can automate this if you build the right scaffold.



This article walks through a working system: a bash hook that captures daily commits, a Claude prompt that extracts signal, and a cron job that writes progress summaries every hour. By December you have timestamped evidence of shipped work your manager can't dispute.






The Hook






#!/bin/bash
# ~/.git-hooks/post-commit

PROGRESS_FILE="$HOME/.work-progress/$(date +%Y-%m).jsonl"
COMMIT_MSG=$(git log -1 --pretty=%B)
TIMESTAMP=$(date -u +"%Y-%m-%dT%H:%M:%SZ")

echo "{\"timestamp\":\"$TIMESTAMP\",\"message\":\"$COMMIT_MSG\"}" >> "$PROGRESS_FILE"






Fires after every commit. Appends to monthly JSONL file. No Claude yet, just durable capture.






The Summary Layer






#!/bin/bash
# ~/.work-progress/summarize.sh

COMMITS=$(cat "$HOME/.work-progress/$(date +%Y-%m).jsonl")

curl -s https://api.anthropic.com/v1/messages \
-H "x-api-key: $ANTHROPIC_API_KEY" \
-H "content-type: application/json" \
-d "{
\"model\": \"claude-sonnet-4-20250514\",
\"max_tokens\": 2000,
\"messages\": [{
\"role\": \"user\",
\"content\": \"Extract work from these commits. Group: shipped features, infrastructure, cross-team contributions, bugs. Ignore: deps, formatting. Output markdown bullets.\n\n$COMMITS\"
}]
}"
| jq -r '.content[0].text' > "$HOME/.work-progress/$(date +%Y-%m)-summary.md"






Add to cron: 0 * * * * $HOME/.work-progress/summarize.sh



Runs hourly. Claude rebuilds your summary all month.






What You Get






## Shipped Features
- OAuth2 migration with PKCE (Nov 3-7)
- FCP 1.8s → 0.4s via lazy loading (Nov 12)
- WCAG 2.1 AA modal system (Nov 18)

## Infrastructure
- Pre-commit hooks block console.log (Nov 5)
- CI: 12min → 6min build time (Nov 20)






Timestamped, categorized, backed by Git history.






Beyond Commits



Extend the JSONL for non-code work:




{"timestamp":"2025-11-15T14:30:00Z","type":"mentorship","summary":"Debugged Redux with Sarah, 2hrs"}
{"timestamp":"2025-11-18T10:00:00Z","type":"incident","summary":"Fixed payment 502s, 8% of checkouts"}






Update the prompt to handle these. Now you're logging the IC2→IC3 behavior managers actually reward.






December: The Final Pass






cat $HOME/.work-progress/*-summary.md | \
curl -s https://api.anthropic.com/v1/messages [...] \
-d '{"messages":[{"role":"user","content":"Rewrite into self-assessment. Lead with impact, quantify, group by velocity/quality/leadership."}]}' \
> self-assessment-2025.md






Consolidates 12 months into one appraisal document. Copy-paste into your company's form.









Why It Works



Removes two failure modes:




  1. Retroactive memory (March work recalled in November is lossy)

  2. Manual upkeep friction (one missed week = death spiral)



Hook captures everything, Claude filters signal, zero ongoing effort. Manager reads a structured promotion case in their language, verified in Git.



Extend to JIRA (story points, cycle time), Zendesk (tickets closed), Slack (incidents resolved). Same pattern: auto-capture, Claude extracts narrative, deliver when it matters.

SOC Incident Playbook: Vulnerability Remediation & Verification
Syntax validiert (0 Fehler)
title: Detect Exploitation - Using AI to Build Your Year-End Performance Case
id: eb9e866b-6726-4a3a-aaec-e85eae0f4448
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-25
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-25"
        description = "YARA Signature for "
    strings:
        $str = "Using AI to Build Your Year-En" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Using AI to Build Your Year-End Performa")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*Using AI to Build Your Year-End Performa*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "Using AI to Build Your Year-End Performa"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc
🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich Using AI to Build Your Year-End Performa.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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