Borrowing it
Nothing to install: this file belongs to andycungkrinx91/konoha. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/andycungkrinx91/konoha/master/.agents/skills/akatsuki-skill/references/anthropic-cybersecurity-skills-assets/skills/designing-adversary-engagement-with-mitre-engage/SKILL.mdgit clone --depth 1 https://github.com/andycungkrinx91/konohaWrote 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/andycungkrinx91/konoha/designing-adversary-engagement-with-mitre-engage)<a href="https://agentmods.dev/skills/andycungkrinx91/konoha/designing-adversary-engagement-with-mitre-engage"><img src="https://agentmods.dev/badge/skills/andycungkrinx91/konoha/designing-adversary-engagement-with-mitre-engage/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/andycungkrinx91/konoha/designing-adversary-engagement-with-mitre-engage"><img src="https://agentmods.dev/badge/skills/andycungkrinx91/konoha/designing-adversary-engagement-with-mitre-engage.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 | $0.00196 | $0.02605 |
| Opus 5.5 | $0.00078 | $0.01042 |
| Sonnet 5.5 | $0.00039 | $0.00521 |
| Haiku 4.5 | $0.00020 | $0.00261 |
Grade A, and why
designing-adversary-engagement-with-mitre-engage 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 6d 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Designing Adversary Engagement with MITRE Engage
When to Use
- When an organization owns deception tooling (honeypots, honeytokens, canary tokens, decoy files) but deploys it tactically with no unifying strategy or measurable outcome.
- When leadership asks whether the organization should engage adversaries, and what the legal, operational, and resourcing implications are.
- When writing a formal adversary engagement operation plan that must justify every deployed deceptive artifact against a strategic goal.
- When selecting which specific deception Activities to deploy against a known or suspected threat actor based on that actor's ATT&CK TTPs.
- When building a denial, deception, and adversary engagement (DD&AE) program that must integrate with existing SOC, threat intel, and incident response functions.
- When a deception deployment generates alerts that nobody knows how to act on, because Expose was never connected to Affect or Elicit goals.
This skill is the strategy and operations layer that sits above tactical deployment skills (honeypot, honeytoken, canary-token, and decoy-file deployment). Use those skills to implement the Activities this skill selects and sequences.
Prerequisites
- Familiarity with MITRE ATT&CK (tactics, techniques, and how to read a technique page), because Engagement Activities are mapped to the ATT&CK techniques they expose.
- A documented set of critical assets and an understanding of which adversaries plausibly target them (a threat model or prioritized threat actor list).
- Executive sponsorship and a written legal review. Engagement operations interact with live adversaries and raise entrapment, evidence-handling, and liability questions; never run an engagement operation without legal sign-off.
- An existing detection and response capability. Engage is an additive strategy, not a replacement for defense-in-depth; if a defense-in-depth control fails, engagement keeps you in control rather than blind.
- Access to the live matrix at https://engage.mitre.org/matrix/ for canonical Activity names and IDs.
What ships with it
3 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.
- 6d ago First seen · 164 lines · 196 tokens per session scan A 6f9230b7a8d4
designing-adversary-engagement-with-mitre-engage is a skill published in the GitHub repository andycungkrinx91/konoha (13 stars, last pushed yesterday), licensed MIT. It adds 196 tokens to every session and 2,605 once invoked, about $0.0008 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 2026-10-25.
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