backtest-recover-campaign

backtest-recover-campaign is a skill for Codex from SagaSmithAI/sagasmith-narrative. It costs 72 tokens per session (223 once invoked), scanned A, original, no licence file.

A testing and recovery tool for SagaSmith, a system for running narrative game campaigns. A campaign is a continuing story played through multiple scenes and decisions.

In plain words
What is it for?
It is for regression testing public campaign access, checking audiences and permissions, testing repeat-safe operations, and recovering campaigns after interruptions or branch or snapshot errors.
Why use it?
It helps investigate failed playthroughs and recover campaigns when authorization, duplicate actions, restarts, revisions, or saved states cause problems.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It is for regression testing public campaign access, checking audiences and permissions, testing repeat-safe operations, and recovering campaigns after interruptions or branch or snapshot errors.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sagasmithai/sagasmith-narrative/backtest-recover-campaign
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 SagaSmithAI/sagasmith-narrative --skill backtest-recover-campaign
Clone the repo
git clone --depth 1 https://github.com/SagaSmithAI/sagasmith-narrative

Made for: Codex.

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 backtest-recover-campaign

README.md
[![agentmods](https://agentmods.dev/badge/skills/sagasmithai/sagasmith-narrative/backtest-recover-campaign/github.svg)](https://agentmods.dev/skills/sagasmithai/sagasmith-narrative/backtest-recover-campaign)
Your own site
<a href="https://agentmods.dev/skills/sagasmithai/sagasmith-narrative/backtest-recover-campaign"><img src="https://agentmods.dev/badge/skills/sagasmithai/sagasmith-narrative/backtest-recover-campaign/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 backtest-recover-campaign

Your own site · 80×15
<a href="https://agentmods.dev/skills/sagasmithai/sagasmith-narrative/backtest-recover-campaign"><img src="https://agentmods.dev/badge/skills/sagasmithai/sagasmith-narrative/backtest-recover-campaign.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 223 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 unknown 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 $0.00072 $0.00223
Opus 5 $0.00036 $0.00112
Sonnet 5 $0.00014 $0.00045
Haiku 4.5 $0.00007 $0.00022

Measured 11d ago against content hash 78d3b4798b6c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

backtest-recover-campaign 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 11d 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/backtest-recover-campaign/SKILL.md · 15 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

2 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. 11d ago First seen · 15 lines · 72 tokens per session scan A 78d3b4798b6c

Subscribe to this mod's changes

backtest-recover-campaign is a skill published in the GitHub repository SagaSmithAI/sagasmith-narrative (0 stars, last pushed 2d ago), with no licence file. It adds 72 tokens to every session and 223 once invoked, about $0.0004 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 2026-08-31.

Related

Other skills, from other repositories

develop-web-game

Use when Codex is building or iterating on a web game (HTML/JS) and needs a reliable development + testing loop: implement small changes, run a Playwright-based test script with short input bursts and intentional pauses, inspect screenshots/text, and review console errors with rendergametotext.

netease-youdao/LobsterAI · 64 tokens

tests-run

Execute Unity tests (EditMode or PlayMode) and return per-test results. Supports filtering by test assembly, namespace, class, and method. Refreshes the AssetDatabase first; defers execution across domain reloads if scripts changed. Precondition: every open scene must be saved — dirty scenes abort the run.

IvanMurzak/Unity-MCP · 68 tokens

unity-agent-workflows

Use for AI-assisted Unity work that needs live repo discovery, project-derived routing, runtime-owner proof, runtime-visible output hard stops, runtime numeric proof for repeated visible-output failures, state-step guards, multi-agent scope ownership, modular C#/asmdef safety, UI/scene/visual asset gates, data-first…

hashgraph-online/awesome-codex-plugins · 146 tokens

sprite-gen

A pipeline for turning generated 2D game-character images into transparent sprite sheets, which store animation frames for a game.

aldegad/sprite-gen · 79 tokens

testing-bgs-modpack

A checklist and decision guide for checking a newly installed batch of Bethesda Game Studios game modifications before accepting it as ready.

hashgraph-online/awesome-codex-plugins · 101 tokens

gdunit-driver

Run gdUnit4 unit tests and parse results into structured output. Use this skill after writing or modifying code to verify correctness via unit tests, when diagnosing test failures, or when writing new test files. Triggers: "run tests", "test fails", "write a test", any gdUnit4/unit test mention. Supports both GDScript…

valkor-ai/loom · 84 tokens