Implement safety interlocks and protective mechanisms to prevent equipment damage and ensure safe control system operation.
$ npx skills add benchflow-ai/skillsbench --skill safety-interlocks -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install benchflow-ai/skillsbench safety-interlocks --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/hvac-control/environment/skills/safety-interlocks .claude/skills/safety-interlocks && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "safety-interlocks" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/hvac-control/environment/skills/safety-interlocks into .claude/skills/safety-interlocks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "safety-interlocks", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/benchflow-ai/skillsbench/tree/main/tasks/hvac-control/environment/skills/safety-interlocksType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add benchflow-ai/skillsbench --skill safety-interlocks -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install benchflow-ai/skillsbench safety-interlocks --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks/hvac-control/environment/skills/safety-interlocks .agents/skills/safety-interlocks && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "safety-interlocks" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/hvac-control/environment/skills/safety-interlocks into .agents/skills/safety-interlocks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "safety-interlocks", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add benchflow-ai/skillsbench --skill safety-interlocks -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install benchflow-ai/skillsbench safety-interlocks --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks/hvac-control/environment/skills/safety-interlocks .cursor/skills/safety-interlocks && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "safety-interlocks" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/hvac-control/environment/skills/safety-interlocks into .cursor/skills/safety-interlocks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "safety-interlocks", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/benchflow-ai/skillsbench.git --path tasks/hvac-control/environment/skills/safety-interlocks--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add benchflow-ai/skillsbench --skill safety-interlocks -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install benchflow-ai/skillsbench safety-interlocks --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks/hvac-control/environment/skills/safety-interlocks .gemini/skills/safety-interlocks && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "safety-interlocks" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/hvac-control/environment/skills/safety-interlocks into .gemini/skills/safety-interlocks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "safety-interlocks", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install benchflow-ai/skillsbench safety-interlocksInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add benchflow-ai/skillsbench --skill safety-interlocks -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks/hvac-control/environment/skills/safety-interlocks .github/skills/safety-interlocks && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "safety-interlocks" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/hvac-control/environment/skills/safety-interlocks into .github/skills/safety-interlocks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "safety-interlocks", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add benchflow-ai/skillsbench --skill safety-interlocks -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install benchflow-ai/skillsbench safety-interlocks --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks/hvac-control/environment/skills/safety-interlocks .opencode/skills/safety-interlocks && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "safety-interlocks" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/hvac-control/environment/skills/safety-interlocks into .opencode/skills/safety-interlocks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "safety-interlocks", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
safety-interlocksImplement safety interlocks and protective mechanisms to prevent equipment damage and ensure safe control system operation.
Safety Interlocks is an agent skill from benchflow-ai/skillsbench. Implement safety interlocks and protective mechanisms to prevent equipment damage and ensure safe control system operation.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9a1f4dd. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Safety Interlocks loads about 1k tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 165 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 165 words, ~1,029 tokens.
.claude/skills/safety-interlocks/SKILL.md (or your agent's skills folder).Safety interlocks are protective mechanisms that prevent equipment damage and ensure safe operation. In control systems, the primary risks are output saturation and exceeding safe operating limits.
Always check safety conditions BEFORE applying control outputs:
def apply_safety_limits(measurement, command, max_limit, min_limit, max_output, min_output):
"""
Apply safety checks and return safe command.
Args:
measurement: Current sensor reading
command: Requested control output
max_limit: Maximum safe measurement value
min_limit: Minimum safe measurement value
max_output: Maximum output command
min_output: Minimum output command
Returns:
tuple: (safe_command, safety_triggered)
"""
safety_triggered = False
# Check for over-limit - HIGHEST PRIORITY
if measurement >= max_limit:
command = min_output # Emergency cutoff
safety_triggered = True
# Clamp output to valid range
command = max(min_output, min(max_output, command))
return command, safety_triggeredclass SafeController:
def __init__(self, controller, max_limit, min_output=0.0, max_output=100.0):
self.controller = controller
self.max_limit = max_limit
self.min_output = min_output
self.max_output = max_output
self.safety_events = []
def compute(self, measurement, dt):
"""Compute safe control output."""
# Check safety FIRST
if measurement >= self.max_limit:
self.safety_events.append({
"measurement": measurement,
"action": "emergency_cutoff"
})
return self.min_output
# Normal control
output = self.controller.compute(measurement, dt)
# Clamp to valid range
return max(self.min_output, min(self.max_output, output))During calibration/excitation, safety is especially important because there's no feedback control:
def run_test_with_safety(system, input_value, duration, dt, max_limit):
"""Run open-loop test while monitoring safety limits."""
data = []
current_input = input_value
for step in range(int(duration / dt)):
result = system.step(current_input)
data.append(result)
# Safety check
if result["output"] >= max_limit:
current_input = 0.0 # Cut input
return dataAlways log safety events for analysis:
safety_log = {
"limit": max_limit,
"events": []
}
if measurement >= max_limit:
safety_log["events"].append({
"time": current_time,
"measurement": measurement,
"command_before": command,
"command_after": 0.0,
"event_type": "limit_exceeded"
})Before starting any control operation:
Verify sensor reading is reasonable
Check initial conditions
Confirm safety limits are configured
def pre_control_checks(measurement, config):
"""Run pre-control safety verification."""
assert not np.isnan(measurement), "Measurement is NaN"
assert config.get("max_limit") is not None, "Safety limit not configured"
return True© benchflow-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in tasks/hvac-control/environment/skills/safety-interlocks of benchflow-ai/skillsbench.
Open the folder on GitHubat commit 9a1f4dd
Safety Interlocks next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Safety Interlocks this skillbenchflow-ai/skillsbench | 1.8k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Implementing Memory Protection With Dep Aslrmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Implementing Cloud Dlp For Data Protectionmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Implementing API Threat Protection With Apigeemukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Implementing Cloud Workload Protectionmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~578 | Automated safety check: Pass | Apache-2.0 | |
| Implementing Mimecast Targeted Attack Protectionmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 |
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Implement safety interlocks and protective mechanisms to prevent equipment damage and ensure safe control system operation. Safety Interlocks is an agent skill from benchflow-ai/skillsbench. Implement safety interlocks and protective mechanisms to prevent equipment damage and ensure safe control system operation.
Run `npx skills add benchflow-ai/skillsbench --skill safety-interlocks -a claude-code`. Or copy the skill folder (tasks/hvac-control/environment/skills/safety-interlocks in benchflow-ai/skillsbench) into .claude/skills/safety-interlocks in your project. Claude Code loads it when a task matches its description.
Run `npx skills add benchflow-ai/skillsbench --skill safety-interlocks -a codex`. Or copy the skill folder (tasks/hvac-control/environment/skills/safety-interlocks in benchflow-ai/skillsbench) into .agents/skills/safety-interlocks in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add benchflow-ai/skillsbench --skill safety-interlocks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/safety-interlocks, .gemini/skills/safety-interlocks, .github/skills/safety-interlocks and .opencode/skills/safety-interlocks in your project.
SKILL.md names no scripts, command-line tools or credentials: Safety Interlocks is instructions for the agent only. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Safety Interlocks is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Safety Interlocks: Implementing Memory Protection With Dep Aslr (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Implementing Cloud Dlp For Data Protection (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Implementing API Threat Protection With Apigee (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Implementing Cloud Workload Protection (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,832 GitHub stars. The repository holds 178 skills in this directory. The repository was last updated on July 23, 2026.
Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
