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 skills add DDS-Solutions/AI-TadPole-OS --skill red-team-tacticsgit clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OSWrote 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/skills/dds-solutions/ai-tadpole-os/red-team-tactics)<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/red-team-tactics"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/red-team-tactics/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/skills/dds-solutions/ai-tadpole-os/red-team-tactics"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/red-team-tactics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00044 | $0.01215 |
| Opus 5.5 | $0.00018 | $0.00486 |
| Sonnet 5.5 | $0.00009 | $0.00243 |
| Haiku 4.5 | $0.00004 | $0.00121 |
Grade A, and why
red-team-tactics 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 12d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Agent Skills Registry / red-team-tactics
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Undetected prompt injection, path traversal escapes, or capability ceiling bypasses.
- Observability: Traceability via
execution/parity_guard.py([SKILL])
Red Team Tactics & Adversarial Swarm Protocol
Standards: MITRE ATT&CK® (v19.2), MITRE ATLAS™ (v2026.07),
docs/SECURITY_REGISTRY.json.
Workflow Bindings: Integrated directly into the/adversarystress-testing workflow.
🎯 Progressive Disclosure & L3 Reference Index
Read the core Sovereign red-team rules below; consult deep L3 Reference Guides on demand:
| L3 Reference Guide | Purpose | Trigger / When to Load |
|---|---|---|
references/attack_lifecycle_and_detection.md |
Full 12-phase MITRE matrix, Purple Team detection signals, A2A trust audit | Adversary simulation & detection engineering |
scripts/red_team_simulator.py |
Automated adversarial vector detector for prompt injection, path traversal, and escape payloads | Fuzzing inputs and evaluating threat signatures |
⚔️ 1. The 4-Stage Adversary Simulation Lifecycle
[1. RECONNAISSANCE] ───> [2. FOOTHOLD] ───> [3. ESCALATION] ───> [4. AUDIT & REPORT]
Map endpoints, MCP Test prompt Test capability Compare findings
tools, & schema routes delimiters & inputs ceiling & SafePath against telemetry
- Reconnaissance: Enumerate external ports, WebSocket endpoints, IPC bridges, and registered MCP tools.
- Foothold: Test input sanitizers, prompt boundaries, delimiter handling, and token limits.
- Escalation: Validate that the agent cannot escape its designated capability ceiling (
SEC-03) or traverse file paths (SEC-02). - Audit & Report: Formulate detection signatures and ensure events trigger proper telemetry logs.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago Changed · +39 lines 25b82cfe9bb3
- 1mo ago First seen · 48 lines · 44 tokens per session scan A 385eec9881c5
red-team-tactics is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 1,215 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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