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 skills/tayontech/scope/scope-exploit-playbooknpx skills add tayontech/SCOPE --skill scope-exploit-playbookgit clone --depth 1 https://github.com/tayontech/SCOPEWhat 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 | $0.00046 | $0.00705 |
| Opus 5 | $0.00023 | $0.00352 |
| Sonnet 5 | $0.00009 | $0.00141 |
| Haiku 4.5 | $0.00005 | $0.00071 |
Grade A, and why
scope-exploit-playbook 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SCOPE Exploit Playbook
Use this skill after scope-exploit Gate 3 approval and before Gate 4 display.
The top-level agent owns permission discovery, path reasoning, research dispatch, gates, artifact writes, and results.json. This skill owns the playbook document shape only.
Inputs
TARGET_ARNRUN_IDDISCOVERY_MODE:standaloneoraudit- discovery summary
- operator-approved paths
- research results from
scope-research AWS_CLI_REPLAYfromscope-awscli-replay- real account IDs, ARNs, resource names, and permission evidence
Hard Rules
- Generate-only. Do not execute AWS CLI commands from this skill.
- Do not deploy or mutate AWS resources. The playbook may contain operator-reviewed commands, but SCOPE agents must not run them.
- Use actual ARNs, account IDs, resource names, and permissions from discovery. No placeholders except operator-supplied values already marked in
AWS_CLI_REPLAY. - Use command blocks from
AWS_CLI_REPLAY.paths[].commands[]. - Start each path with narrative context before commands.
- Order steps by technical dependency, not quietness or stealth.
- Persistence and post-exploitation sections require explicit operator approval before inclusion. If the operator approved only escalation paths, omit those sections or mark them skipped.
- Include a minimal IAM policy document per path.
- Do not include CloudTrail event names, GuardDuty finding types, detection likelihood, OPSEC notes, SOC recommendations, numeric confidence scores, or stealth-ordering headers.
- Do not tag steps with static CloudTrail visibility classes. Detection and visibility analysis belongs to
scope-controlsandscope-investigate. - Do not invent permissions, resources, or prerequisites.
Required Format
# Red Team Playbook — [TARGET_ARN]
**Run ID:** [RUN_ID]
**Discovery mode:** [standalone | audit]
**Generated:** [ISO-8601 timestamp]
## Discovery Summary
[What was probed or loaded, what succeeded, what was denied, and what those results revealed.]
## Path 1: [Descriptive Name]
[Narrative explanation of the attack chain, the permissions that enable it, and where the chain leads. Weave research citations inline when present.]
### Step 1: [Action Description]
```bash
[Command from AWS_CLI_REPLAY.paths[].commands[]]
[Why this step comes first and what it enables.]
Establish Persistence
[Persistence steps available from this path.]
Post-Exploitation
[Data access, lateral movement, or impact unlocked by the path.]
IAM Policy Document
{
"Version": "2012-10-17",
"Statement": []
}
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 · 97 lines · 46 tokens per session scan A 0208752ee4b1
scope-exploit-playbook is a skill published in the GitHub repository tayontech/SCOPE (54 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 705 once invoked, about $0.0002 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…