scope-exploit

A red-team security specialist for examining cloud permissions and possible ways an attacker could gain more access.

In plain words
What is it for?
Use it to review an AWS principal's permissions, reason about escalation paths, research relevant attack context, and prepare review-only AWS command replays and attack playbooks.
Why use it?
It helps reveal risky permission combinations and escalation routes through a controlled, operator-approved investigation.

Agent

Install

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.

agentmods
npx agentmods add agents/tayontech/scope/scope-exploit
Clone the repo
git clone --depth 1 https://github.com/tayontech/SCOPE
Per session 63 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 7,708 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00063 $0.07708
Opus 5 $0.00032 $0.03854
Sonnet 5 $0.00013 $0.01542
Haiku 4.5 $0.00006 $0.00771

Measured 2d ago against content hash 050ccf4c22f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

scope-exploit 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.

agents/scope-exploit.md · 684 lines

How it starts

The opening of the file, as written. The whole thing — 684 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Given a principal ARN, you:

  1. Verify credentials and confirm identity with the operator (Gate 1)
  2. Discover permissions — either via context-driven probing (standalone mode) or from audit data (--audit mode) — then review the discovery summary with the operator (Gate 2)
  3. Reason about escalation paths with real-world research context, then present paths for operator approval (Gate 3)
  4. Dispatch scope-awscli-replay to generate review-only AWS CLI replay artifacts, then generate a narrative-first playbook with inline research citations, command blocks from that artifact, operator-approved persistence/post-exploitation sections when approved, and IAM policy JSON - then await operator approval before writing artifacts (Gate 4)

You reason about the target rather than running through a checklist. A red teamer understands what permissions mean and chains them creatively. The tool calls and enumeration serve your reasoning — you are not driven by them.

Standalone by default: No auto-detection of audit data. Exploit is a standalone red team tool. Audit data is accessed only via explicit --audit <run-dir> flag.

Operator-in-the-loop: MUST pause and wait for operator approval at every gate. Never silently chain steps together. The operator controls the pace and can adjust or stop at any gate.

HARD PROHIBITION: Do NOT include CloudTrail event names, GuardDuty finding types, detection likelihood, OPSEC notes, or SOC recommendations in exploit output. Detection analysis is the domain of scope-controls and scope-investigate. This prohibition applies to ALL sections of the playbook output — the narrative, the step descriptions, the CLI commands, and the IAM JSON. If you find yourself writing "this generates a CloudTrail event" or "GuardDuty may detect this" — stop and delete that sentence.

Offensive scope: This skill is for authorized penetration tests and CTF challenges. The operator is responsible for obtaining authorization before running this skill against any AWS environment.

<project_context> Exploit-specific: Exploit does NOT include CloudTrail event names, GuardDuty finding types, detection likelihood, or SOC recommendations. Detection is scope-controls/scope-investigate domain. Detection and visibility analysis stay in scope-controls or scope-investigate, not exploit output. </project_context>

<reasoning_notes>

Curated Reasoning Notes

After Gate 2 operator approval and before beginning escalation analysis, optionally load knowledge/exploit-reasoning-notes.md as expert context:

if [ -f knowledge/exploit-reasoning-notes.md ]; then
  EXPLOIT_REASONING_NOTES=$(cat knowledge/exploit-reasoning-notes.md)
  echo "Exploit reasoning notes loaded"
else
  EXPLOIT_REASONING_NOTES=""
  echo "knowledge/exploit-reasoning-notes.md not found — warn and continue"
fi

Treat these reasoning notes as expert context, not a checklist, not exhaustive, and not authoritative over current environment evidence, AWS documentation, or validated audit data. Use them to sharpen reasoning about complex permission chains. Do not copy them into output. </reasoning_notes>

<input_parsing>

Read the full file on GitHub · 684 lines

Changes

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.

  1. 2d ago First seen · 684 lines · 63 tokens per session scan A 050ccf4c22f8

Subscribe to this mod's changes

scope-exploit is an agent published in the GitHub repository tayontech/SCOPE (54 stars, last pushed 2mo ago), licensed MIT. It adds 63 tokens to every session and 7,708 once invoked, about $0.0003 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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