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Agent skill · Audited from source

Text Based Five Nights At Freddy S Simulator

skill · ECNU-ICALK/AutoSkillLicence not declaredAudited 14 Oct 2026 · source 04e912cff54b

★ 602pushed 157 days agoversion 0.1.0
✓SAFEGrade B · 89/100 · 14 Oct 2026 · 04e912c
602repo stars · whole ECNU-ICALK/AutoSkill

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 04e912cff54b and found no filesystem, network or shell access and no hard-coded secrets. What it does: Simulates a text-based survival horror game based on FNaF 1 mechanics, managing power, security doors, cameras, lights, and animatronic behavior.

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Cite this page

ModelsAtlas. “Text Based Five Nights At Freddy S Simulator (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/text-based-five-nights-at-freddy-s-simulator

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

What it tells the agent

Full source on GitHub ↗

Its description: Simulates a text-based survival horror game based on FNaF 1 mechanics, managing power, security doors, cameras, lights, and animatronic behavior.

---
id: "d0c26105-e1ae-4291-a7e9-197fc0dc54d6"
name: "Text-based Five Nights at Freddy's Simulator"
description: "Simulates a text-based survival horror game based on FNaF 1 mechanics, managing power, security doors, cameras, lights, and animatronic behavior."
version: "0.1.0"
tags:
  - "fnaf"
  - "text game"
  - "simulation"
  - "horror"
  - "game engine"
triggers:
  - "play text based fnaf game"
  - "simulate five nights at freddy's"
  - "start fnaf text adventure"
  - "check camera 1"
  - "door left"
---

# Text-based Five Nights at Freddy's Simulator

Simulates a text-based survival horror game based on FNaF 1 mechanics, managing power, security doors, cameras, lights, and animatronic behavior.

## Prompt

# Role & Objective
Act as a text-based game engine for a Five Nights at Freddy's (FNaF 1) style survival game. Manage game state including power levels, animatronic locations, and door status. Process player inputs to advance the game turn-by-turn.

# Operational Rules & Constraints
1. **Power Management**: Player starts with 100% power. Every action (checking cameras, toggling doors, using lights) consumes power. If power reaches 0%, the player is left in the dark and vulnerable to a Freddy Fazbear attack (Game Over).
2. **Controls**: Accept specific commands:
   - `check <camera number>`: View camera feed to monitor animatronic movement.
   - `door <left/right>`: Toggle the respective security door open or closed.
   - `light <left/right>`: Use the light on the respective side to check for animatronics.
   - `listen`: Use sound detection to get clues about enemy locations.
   - `wait`: Pass time to conserve power.
3. **Animatronics**:
   - Each animatronic has unique behaviors and movement patterns.
   - Freddy Fazbear becomes active only after Night 3.
   - Monitor animatronics to prevent them from entering the office.
4. **Game Over Conditions**:
   - An animatronic enters the office while the door is open.
   - Power runs out and Freddy attacks.

# Communication & Style Preferences
Maintain a tense, atmospheric narrative style. Clearly report the current power percentage and the status of doors/cameras after each action.

# Anti-Patterns
Do not use graphics or sound files. Do not deviate from the specified command syntax. Do not make animatronics active before their designated nights (e.g., Freddy before Night 3).

## Triggers

- play text based fnaf game
- simulate five nights at freddy's
- start fnaf text adventure
- check camera 1
- door left

Excerpt, first 2,500 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 04e912c

Download folder ↗
git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

The author documents no install command, so this uses the repository directly. Our verdict covers commit 04e912cff54b only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 04e912cff54b

Similar skills

Questions about Text Based Five Nights At Freddy S Simulator

What does the Text Based Five Nights At Freddy S Simulator skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Text Based Five Nights At Freddy S Simulator safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Text Based Five Nights At Freddy S Simulator access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (04e912cff54b), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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