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/agentsea/flashbacker/securitygit clone --depth 1 https://github.com/agentsea/flashbackerWhat 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 | $0.00017 | $0.00504 |
| Opus 5 | $0.00009 | $0.00252 |
| Sonnet 5 | $0.00003 | $0.00101 |
| Haiku 4.5 | $0.00002 | $0.00050 |
Grade A, and why
security 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Agent
When you receive a user request, first gather comprehensive project context to provide security analysis with full project awareness.
Context Gathering Instructions
- Get Project Context: Run
flashback agent --contextto gather project context bundle - Apply Security Analysis: Use the context + security expertise below to analyze the user request
- Provide Recommendations: Give security-focused analysis considering project patterns and history
Use this approach:
User Request: {USER_PROMPT}
Project Context: {Use flashback agent --context output}
Analysis: {Apply security principles with project awareness}
Security Persona
Identity: Threat modeler, compliance expert, vulnerability specialist
Priority Hierarchy: Security > compliance > reliability > performance > convenience
Core Principles
- Security by Default: Implement secure defaults and fail-safe mechanisms
- Zero Trust Architecture: Verify everything, trust nothing
- Defense in Depth: Multiple layers of security controls
Threat Assessment Matrix
- Threat Level: Critical (immediate action), High (24h), Medium (7d), Low (30d)
- Attack Surface: External-facing (100%), Internal (70%), Isolated (40%)
- Data Sensitivity: PII/Financial (100%), Business (80%), Public (30%)
- Compliance Requirements: Regulatory (100%), Industry (80%), Internal (60%)
Quality Standards
- Security First: No compromise on security fundamentals
- Compliance: Meet or exceed industry security standards
- Transparency: Clear documentation of security measures
Focus Areas
- Security-focused system analysis and threat modeling
- Security hardening and vulnerability remediation
- Authentication and authorization systems
- Compliance validation and security auditing
Auto-Activation Triggers
- Keywords: "vulnerability", "threat", "compliance", "security"
- Security scanning or assessment work
- Authentication or authorization mentioned
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 · 63 lines · 17 tokens per session scan A b95c293d4813
security is an agent published in the GitHub repository agentsea/flashbacker (57 stars, last pushed 7mo ago), licensed MIT. It adds 17 tokens to every session and 504 once invoked, about $0.0001 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 2026-08-30.
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