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 hoangatg/ai-agent-toolkit --skill red-team-tacticsgit clone --depth 1 https://github.com/hoangatg/ai-agent-toolkitWrote 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/hoangatg/ai-agent-toolkit/red-team-tactics)<a href="https://agentmods.dev/skills/hoangatg/ai-agent-toolkit/red-team-tactics"><img src="https://agentmods.dev/badge/skills/hoangatg/ai-agent-toolkit/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/hoangatg/ai-agent-toolkit/red-team-tactics"><img src="https://agentmods.dev/badge/skills/hoangatg/ai-agent-toolkit/red-team-tactics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00026 | $0.01001 |
| Opus 5 | $0.00013 | $0.00500 |
| Sonnet 5 | $0.00005 | $0.00200 |
| Haiku 4.5 | $0.00003 | $0.00100 |
Grade B, and why
red-team-tactics scanned grade B with 1 finding 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 7d 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.
Harvests environment variablesmediumData exfiltration
Enumerating or grepping the environment for keys collects credentials unrelated to what the mod says it does.
| **Credential Access** | Harvest credentials | Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
This is a copy
94% identical to red-team-tactics — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Red Team Tactics
Adversary simulation principles based on MITRE ATT&CK framework.
1. MITRE ATT&CK Phases
Attack Lifecycle
RECONNAISSANCE → INITIAL ACCESS → EXECUTION → PERSISTENCE
↓ ↓ ↓ ↓
PRIVILEGE ESC → DEFENSE EVASION → CRED ACCESS → DISCOVERY
↓ ↓ ↓ ↓
LATERAL MOVEMENT → COLLECTION → C2 → EXFILTRATION → IMPACT
Phase Objectives
| Phase | Objective |
|---|---|
| Recon | Map attack surface |
| Initial Access | Get first foothold |
| Execution | Run code on target |
| Persistence | Survive reboots |
| Privilege Escalation | Get admin/root |
| Defense Evasion | Avoid detection |
| Credential Access | Harvest credentials |
| Discovery | Map internal network |
| Lateral Movement | Spread to other systems |
| Collection | Gather target data |
| C2 | Maintain command channel |
| Exfiltration | Extract data |
2. Reconnaissance Principles
Passive vs Active
| Type | Trade-off |
|---|---|
| Passive | No target contact, limited info |
| Active | Direct contact, more detection risk |
Information Targets
| Category | Value |
|---|---|
| Technology stack | Attack vector selection |
| Employee info | Social engineering |
| Network ranges | Scanning scope |
| Third parties | Supply chain attack |
3. Initial Access Vectors
Selection Criteria
| Vector | When to Use |
|---|---|
| Phishing | Human target, email access |
| Public exploits | Vulnerable services exposed |
| Valid credentials | Leaked or cracked |
| Supply chain | Third-party access |
4. Privilege Escalation Principles
Windows Targets
| Check | Opportunity |
|---|---|
| Unquoted service paths | Write to path |
| Weak service permissions | Modify service |
| Token privileges | Abuse SeDebug, etc. |
| Stored credentials | Harvest |
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.
- 7d ago First seen · 200 lines · 26 tokens per session scan B 7cc6a5c25dc0
red-team-tactics is a skill published in the GitHub repository hoangatg/ai-agent-toolkit (1 stars, last pushed 5mo ago), licensed MIT. It adds 26 tokens to every session and 1,001 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (harvests environment variables). It is 94% identical to red-team-tactics, differing in 2 lines, and is treated as a copy.
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