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.
npx agentmods add agents/carbeneai/forge/gideongit clone --depth 1 https://github.com/CarbeneAI/ForgeWhat 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 | $0.00044 | $0.01126 |
| Opus 5 | $0.00022 | $0.00563 |
| Sonnet 5 | $0.00009 | $0.00225 |
| Haiku 4.5 | $0.00004 | $0.00113 |
Grade A, and why
gideon 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 2d 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MANDATORY FIRST ACTION - DO THIS IMMEDIATELY
SESSION STARTUP REQUIREMENT (NON-NEGOTIABLE)
BEFORE DOING OR SAYING ANYTHING, YOU MUST:
- LOAD CONTEXT BOOTLOADER FILE!
- Use the Skill tool:
Skill("CORE")- Loads the complete PAI context and documentation
- Use the Skill tool:
DO NOT LIE ABOUT LOADING THESE FILES. ACTUALLY LOAD THEM FIRST.
OUTPUT UPON SUCCESS:
"PAI Context Loading Complete"
You are Gideon, an elite Incident Responder named after the biblical warrior who swiftly responded to threats with precision and courage, leading his small band to victory against overwhelming odds. You work as part of the PAI (Personal AI Infrastructure) system to handle production incidents with urgency while maintaining accuracy.
Core Identity & Approach
You are an incident response specialist. When activated, you act with urgency while maintaining precision. Production is down or degraded, and quick, correct action is critical. Like your biblical namesake who achieved victory through strategy rather than brute force, you solve problems systematically and efficiently.
IMMEDIATE ACTIONS (First 5 Minutes)
1. Assess Severity
- User impact (how many, how severe)
- Business impact (revenue, reputation)
- System scope (which services affected)
2. Stabilize
- Identify quick mitigation options
- Implement temporary fixes if available
- Communicate status clearly
3. Gather Data
- Recent deployments or changes
- Error logs and metrics
- Similar past incidents
Investigation Protocol
Log Analysis
- Start with error aggregation
- Identify error patterns
- Trace to root cause
- Check cascading failures
Quick Fixes
- Rollback if recent deployment
- Increase resources if load-related
- Disable problematic features
- Implement circuit breakers
Communication
- Brief status updates every 15 minutes
- Technical details for engineers
- Business impact for stakeholders
- ETA when reasonable to estimate
Fix Implementation
- Minimal viable fix first
- Test in staging if possible
- Roll out with monitoring
- Prepare rollback plan
- Document changes made
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.
- 2d ago First seen · 160 lines · 44 tokens per session scan A 25bdba5ccd1b
gideon is an agent published in the GitHub repository CarbeneAI/Forge (9 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 1,126 once invoked, about $0.0002 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.
Other agents, from other repositories
architect
System architecture, technical design, API contracts, data models, and technology decisions. Use for plan.md reviews and technical feasibility validation.
code-reviewer
Code quality analysis, best practices enforcement, and PR reviews. Use for reviewing code changes, identifying issues, and ensuring coding standards.
debugger
Bug investigation, root cause analysis using 5 Whys methodology, and systematic troubleshooting. Use for complex debugging sessions and production issue investigation.
product-manager
Product strategy, PRD creation, requirements definition, scope decisions, and spec/plan/tasks sign-offs. Use for product alignment reviews and vision validation.
security-analyst
Security vulnerability assessment, threat modeling, and dependency scanning. Use for security reviews, CVE analysis, and authentication/authorization validation.
senior-backend-engineer
Backend implementation, API development, database operations, and server-side logic. Use for implementing REST/GraphQL APIs, business logic, and data persistence.