rescue

rescue is a skill for Claude Code, Codex from suboss87/FDEOps. It costs 30 tokens per session (245 once invoked), scanned A, original, MIT.

An urgent recovery process for an outage, damaged stakeholder trust, or a customer engagement that is going in the wrong direction. It separates finding the cause from making an approved change in production.

In plain words
What is it for?
Use it to assess an outage, investigate a failing engagement, plan recovery, and decide whether a production mitigation is authorized.
Why use it?
It prevents rushed fixes from being presented as diagnosis or being made without the right authorization. It gives urgent problems a clear path for investigation and response.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the fdeops plugin — 35 skills, 5 commands, 3 hooks shipped together

Good fit Use it to assess an outage, investigate a failing engagement, plan recovery, and decide whether a production mitigation is authorized.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/suboss87/fdeops/rescue
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.

Any agent
npx skills add suboss87/FDEOps --skill rescue
Clone the repo
git clone --depth 1 https://github.com/suboss87/FDEOps

Made for: Claude Code, Codex.

Or install fdeops, the plugin that ships this one along with the rest of its 35 skills, 5 commands, 3 hooks.

Wrote 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.

agentmods badge for rescue

README.md
[![agentmods](https://agentmods.dev/badge/skills/suboss87/fdeops/rescue/github.svg)](https://agentmods.dev/skills/suboss87/fdeops/rescue)
Your own site
<a href="https://agentmods.dev/skills/suboss87/fdeops/rescue"><img src="https://agentmods.dev/badge/skills/suboss87/fdeops/rescue/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.

agentmods 80×15 button for rescue

Your own site · 80×15
<a href="https://agentmods.dev/skills/suboss87/fdeops/rescue"><img src="https://agentmods.dev/badge/skills/suboss87/fdeops/rescue.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 245 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00030 $0.00245
Opus 5.5 $0.00012 $0.00098
Sonnet 5.5 $0.00006 $0.00049
Haiku 4.5 $0.00003 $0.00024

Measured 12d ago against content hash b2be35e0ff8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

rescue 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.

skills/rescue/SKILL.md · 26 lines

What it actually says

rescue

Purpose

A recovery plan and evidence of authorized mitigation.

Before investigating or acting:

  1. Read the task context contract.
  2. Read the method.

Load further references only when the task needs them. Everything linked is included in this skill; no other skill pack is required.

Principles

  • Work directly from the supplied permitted context. Standalone work does not require an engagement folder or initialization. Record filenames in the method are optional persistence destinations when no engagement is bound.
  • If called by @fde, reuse its current sanitized packet and scope. Do not restart setup, discovery or questions already answered.
  • The task context contract controls persistence and authority in both modes. Preserve unknowns and distinguish implementation, verification, deployment and acceptance.
  • Use the customer's repository instructions and available tools. Report a missing capability or unrun check honestly; do not claim that installing a skill provisions infrastructure.
Files

What ships with it

4 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.

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. 12d ago Changed b2be35e0ff8b
  2. 1mo ago Changed · +4 lines de58cdfb4621
  3. 1mo ago First seen · 22 lines · 30 tokens per session scan A e13cfaec04aa

Subscribe to this mod's changes

rescue is a skill published in the GitHub repository suboss87/FDEOps (969 stars, last pushed 9d ago), licensed MIT. It adds 30 tokens to every session and 245 once invoked, about $0.0001 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 2026-09-16.

Related

Other skills, from other repositories

lcx-report-bug

Create a high-signal bug issue or PR in the repo that owns the defect. Use this whenever the user asks to report, file, open, or triage a LazyCodex, lazycodex-ai, omo-codex, Codex plugin, or upstream Codex CLI bug, especially when they need source-backed root cause, reproduction steps, fix guidance, and GitHub routing.

code-yeongyu/oh-my-openagent · 85 tokens

ast-grep

Searches and rewrites code by AST shape across 25 languages. Use when the target is a syntax pattern (every call/class/import shaped like X, a codemod, a YAML rule) rather than literal text; for plain strings, comments, or filenames, use rg.

code-yeongyu/oh-my-openagent · 61 tokens

debugging

Runs a hypothesis-driven debugging loop across any language or binary, escalating to orthogonal oracle angles and locking the fix with a failing test. Use for crashes, silent failures, hangs, wrong responses, memory leaks, async misbehavior, or reverse engineering.

code-yeongyu/oh-my-openagent · 53 tokens

lcx-doctor

Diagnose LazyCodex and Codex CLI installation health against the latest sources. Use whenever the user asks for a doctor or health check, says LazyCodex, lazycodex-ai, omo-codex, or Codex behaves oddly after an install, update, or config change, suspects a stale, drifted, or broken setup, or wants the local install…

code-yeongyu/oh-my-openagent · 93 tokens

remove-deadcode

Remove unused code from this project with ultrawork mode, LSP-verified safety, atomic commits. Triggers: remove dead code, dead code, cleanup, remove unused.

code-yeongyu/oh-my-openagent · 41 tokens

watch

Observe actual video and sound over the whole file or named ranges, with timestamped evidence and honest coverage. Use complementary playback, listening and targeted frames; return observations without edits or verdicts.

gooseworks-ai/goose-skills · 40 tokens