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Verify Cc Safety Net

CommunityPopular
kenryu42
verify-cc-safety-net

Launch and drive the real cc-safety-net CLI — the hook decision path, explain, status/doctor, logs, and the local policy GUI — against an isolated home, capturing evidence. Use when a change needs proof in the running app, not just the test suite.

Overview

Publisherkenryu42
Repositorycc-safety-net
Skill nameverify-cc-safety-net
Stars
1.6K
Forks
84
Bundled files
6
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by kenryu42 on GitHub. Read the source before you install it.

Installation

Install the Verify Cc Safety Net AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/kenryu42/cc-safety-net/tree/main/.agents/skills/verify-cc-safety-net
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kenryu42/cc-safety-net.git /tmp/cc-safety-net
mkdir -p .claude/skills
cp -r /tmp/cc-safety-net/.agents/skills/verify-cc-safety-net .claude/skills/verify-cc-safety-net
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Verify Cc Safety Net in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Verify Cc Safety Net on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Verify Cc Safety Net is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Verify cc-safety-net

cc-safety-net is a CLI (cc-safety-net / ccsn) that coding-agent CLIs invoke as a pre-tool-use hook: JSON describing a tool call arrives on stdin, an allow/deny decision leaves on stdout, and every decision is appended to an audit log under the active home. Users also run diagnostic commands (status, doctor, explain, logs) and a local web GUI (gui).

Safety invariants for every run:

  • Command strings under test (git reset --hard, rm -rf /, …) are analyzer INPUT. They go into a JSON payload or an explain argument. Never execute one in a shell.
  • Never run the CLI against the real home. Every invocation goes through ./ccsn-isolated (see Helpers), which redirects HOME, CC_SAFETY_NET_HOME, and CC_SAFETY_NET_AUDIT_HOME into a disposable directory. A bare bun run src/entries/bin.ts writes to the developer's real ~/.cc-safety-net/logs.
  • Never drive install, update, or uninstall (CLI or GUI Integrations tab) in a verification run: install detection and npx-cache clearing reach real machine state beyond $HOME.

Launch

No build step: the CLI runs from source with bun. Set up one isolated run:

bash
REPO=$(git rev-parse --show-toplevel)
RUN_ID=verify-$(date +%Y%m%d-%H%M%S)
export CCSN_VERIFY_HOME=$REPO/artifacts/verify-homes/$RUN_ID   # disposable fake $HOME
EVIDENCE=$REPO/artifacts/verify/$RUN_ID                        # proof artifacts (gitignored)
WS=$CCSN_VERIFY_HOME/workspace                                 # cwd the "agent" works in
mkdir -p "$CCSN_VERIFY_HOME" "$EVIDENCE" "$WS"

One-shot commands (hook, explain, status, logs, doctor) need no server — each drive is one ./ccsn-isolated … invocation from $REPO/.agents/skills/verify-cc-safety-net/.

The only long-lived instance is the GUI:

bash
cd "$WS" && "$REPO/.agents/skills/verify-cc-safety-net/ccsn-isolated" gui --no-open > "$EVIDENCE/gui.log" 2>&1 &
GUI_PID=$!

Ready when gui.log contains CC Safety Net policy GUI: http://127.0.0.1:<port>/?token=<token> (poll for it; it appears in under ~2s). The server picks a free port itself, so instances never collide. Teardown: kill $GUI_PID — kill the PID you started, never by process name.

Isolation: two runs side by side are fine as long as each has its own CCSN_VERIFY_HOME.

Doctor

Before driving, prove the instance is worth driving — from the skill directory:

bash
./ccsn-isolated --version        # must print "dev" — source checkout, not an installed copy
./ccsn-isolated status | head -6 # must print "CC Safety Net — ready" with Level standard
./ccsn-isolated doctor --json --skip-update-check > "$EVIDENCE/doctor.json"

If --version prints a semver, you are running a packaged copy, not this checkout — stop. Healthy in doctor.json means engineSelfTest.failed is 0 and configState.state is "ready". Do not gate on doctor's exit code: under a fresh isolated home it exits 1 solely because no integration is configured (integration.none-configured in findings), which is inherent to the isolation, not a defect. Any other error-severity finding means the checkout is broken — stop and report rather than driving features. After the first hook drive, additionally confirm isolation held: entries exist under $CCSN_VERIFY_HOME/.cc-safety-net/logs/ and ls ~/.cc-safety-net/logs/*/*/*ccsn-verify* 2>/dev/null finds nothing (every probe session id starts with ccsn-verify-, so a leak is identifiable by filename in the real log tree).

Drive

Three drive styles; the per-feature recipes live in features/.

Hook (the production path). Write the payload the coding CLI would send, pipe it in, capture stdout and the exit code:

bash
printf '%s' '{"hook_event_name":"PreToolUse","tool_name":"Bash","session_id":"ccsn-verify-'"$RUN_ID"'-reset","cwd":"'"$WS"'","tool_input":{"command":"git reset --hard"}}' \
  | ./ccsn-isolated hook --claude-code

Deny prints {"hookSpecificOutput":{…,"permissionDecision":"deny","permissionDecisionReason":"…Rule: git.reset-hard…"}}; allow prints nothing. Both exit 0 — the decision is the stdout JSON, never the exit code. hook also takes --cursor, --gemini-cli, --copilot-cli, --kimi-code, --grok-build, --hermes-agent, --antigravity-cli (payload shapes differ; see the integration under src/hosts/<id>/hook.ts).

Plain CLI. ./ccsn-isolated explain --json "<command>", status, doctor --json --skip-update-check, logs --json [--all]. logs is scoped to the current working directory — run it from the same $WS the hook payload's cwd named (ccsn-isolated runs relative commands from your cwd, so cd "$WS" first).

GUI. Drive the API with curl (GET /api/policy?token=$TOKEN; POSTs need the x-cc-safety-net-token: $TOKEN header too), or the page with a browser (playwright-cli or claude-in-chrome) at the printed URL. Views are hash-routed: #overview, #activity, #policy, #rules, #integrations, #settings; stable handles are element ids (#tester-input, #tester-run, #tester-result, #save, #activity-feed) and a[data-nav="<view>"].

Evidence

Everything lands in $EVIDENCE (artifacts/verify/<run-id>/ — gitignored, survives cleanup).

  • Exercise the real user path: payloads through hook --<integration> exactly as the host CLI sends them, not checkCommand library calls or internal functions.
  • Capture the action and the resulting state: for a hook decision, save the payload, the stdout decision, and the exit code, then pair it with the side effect — the audit entry in $CCSN_VERIFY_HOME/.cc-safety-net/logs/<cwd-slug>/<YYYY-MM>/<date>-<session_id>.jsonl (or its absence: plain allows under default policy are also recorded, so assert content, not existence).
  • The hook answers; the host enforces. A hook proof covers the decision and the audit trail — it cannot prove a file survived, and staging a sentinel proves nothing (this harness never executes the command). Survival proofs live in tests/e2e, which stage a real host runner.
  • An allow proof is a negative: empty stdout AND exit 0 AND an allow audit entry for the session id. Capture all three — empty stdout alone also looks like a crash swallowed by a pipe.
  • GUI proofs: screenshot with the view name visible, plus the API response or on-disk policy file ($CCSN_VERIFY_HOME/.cc-safety-net/policy.json) showing the mutation stuck.
  • Record with every artifact: feature ID, the exact command, and the entry point used.

Cleanup

bash
kill $GUI_PID 2>/dev/null          # only if this run started a GUI
/bin/rm -rf "$CCSN_VERIFY_HOME"    # /bin/rm — plain rm may be aliased to trash on this machine

Cleanup removes the isolated home and any GUI process this run started — nothing else. Never delete $EVIDENCE, never touch the real ~/.cc-safety-net, and never kill by process name (other bun processes are not yours). Run this after failed attempts too.

Helpers

ccsn-isolated (executable, in this directory) runs the CLI from source under the isolated home:

bash
CCSN_VERIFY_HOME=/abs/disposable/dir ./ccsn-isolated <command> [args...]

It requires CCSN_VERIFY_HOME to be absolute, redirects HOME/USERPROFILE/ CC_SAFETY_NET_HOME/CC_SAFETY_NET_AUDIT_HOME into it, blanks the CC_SAFETY_NET_LEVEL/ STRICT/PARANOID*/WORKTREE overrides a developer shell might export, and execs bun run <repo>/src/entries/bin.ts "$@" with stdin/stdout/exit code passing through, so hook payloads pipe straight in. It runs the CLI from your current cwd — cd into $WS for cwd-scoped commands like logs.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Verify Cc Safety Net AI skill do?

Launch and drive the real cc-safety-net CLI — the hook decision path, explain, status/doctor, logs, and the local policy GUI — against an isolated home, capturing evidence. Use when a change needs proof in the running app, not just the test suite.

Why use Verify Cc Safety Net on TypingMind?

Because you install it once and use it with any model. Verify Cc Safety Net is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Verify Cc Safety Net in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kenryu42/cc-safety-net/tree/main/.agents/skills/verify-cc-safety-net. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Verify Cc Safety Net?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Verify Cc Safety Net?

As many as you like. As long as a model supports skills, you can use Verify Cc Safety Net with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Verify Cc Safety Net AI skill free?

Yes. It is published on GitHub by kenryu42 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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