validate-loop

validate-loop is a skill for Claude Code, Codex from SkeneTechnologies/skene. It costs 43 tokens per session (456 once invoked), scanned A, original, MIT.

A status-check workflow for the Skene growth-loop tool, where a growth loop is a repeatable product process intended to drive growth.

In plain words
What is it for?
Use it to verify whether a growth loop is implemented, inspect its status, and report errors or missing loop context.
Why use it?
It checks the implementation using Skene's own command-line output instead of relying on an agent's informal checklist or assumptions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to verify whether a growth loop is implemented, inspect its status, and report errors or missing loop context.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/skenetechnologies/skene/validate-loop
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 SkeneTechnologies/skene --skill validate-loop
Clone the repo
git clone --depth 1 https://github.com/SkeneTechnologies/skene

Made for: Claude Code, 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 validate-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/skenetechnologies/skene/validate-loop/github.svg)](https://agentmods.dev/skills/skenetechnologies/skene/validate-loop)
Your own site
<a href="https://agentmods.dev/skills/skenetechnologies/skene/validate-loop"><img src="https://agentmods.dev/badge/skills/skenetechnologies/skene/validate-loop/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 validate-loop

Your own site · 80×15
<a href="https://agentmods.dev/skills/skenetechnologies/skene/validate-loop"><img src="https://agentmods.dev/badge/skills/skenetechnologies/skene/validate-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 456 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 13
    uvx/uv tool run commands without ==version create a rug-pull risk.
    Fix: Pin the version: uvx package-name==1.2.3
  • medium MCP Rug Pull · line 19
    uvx/uv tool run commands without ==version create a rug-pull risk.
    Fix: Pin the version: uvx package-name==1.2.3
  • medium MCP Rug Pull · line 26
    uvx/uv tool run commands without ==version create a rug-pull risk.
    Fix: Pin the version: uvx package-name==1.2.3
How audits are shown
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 $0.00043 $0.00456
Opus 5.5 $0.00017 $0.00182
Sonnet 5.5 $0.00009 $0.00091
Haiku 4.5 $0.00004 $0.00046

Measured 1mo ago against content hash b92d1c0ffdca, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

validate-loop 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 1mo 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.

cursor-plugin/skills/validate-loop/SKILL.md · 44 lines

What it actually says

Validate Loop Implementation

Check implementation status via the Skene CLI.

Agent behavior rules

  • Autonomous. Run the CLI, present results, suggest next step. No mid-flow questions.
  • CLI is the source of truth. If uvx skene status fails, report the error. Do NOT fabricate your own checklist.
  • User cannot type into agent terminals. Pipe safe defaults for routine prompts. Kill stuck terminals.

Steps

  1. Discover CLI options Run uvx skene status --help to see available flags. Use only flags that appear in the output.

  2. Check for growth loops ls .skene/active-loop.json 2>/dev/null || ls skene-context/growth-loops/ 2>/dev/null || ls skene/growth-loops/ 2>/dev/null If missing: "No growth loop found. Run /skene-plan first." Stop.

  3. Run status check Run uvx skene status with appropriate flags from --help output (e.g. path argument, --context if needed). If it fails, report error. Do NOT build your own checklist.

  4. Present CLI output Present the engine status table from CLI output. For action features, Detail uses Found in: <newest migration> (+N) when the same trigger exists in multiple SQL files (+N = additional files beyond the one shown).

  5. Suggest next step

    • All done → "Growth loop implemented. Run /skene-deploy for telemetry."
    • Gaps remain → "Remaining: [items]. Run /skene-build to continue."

Error handling

  • CLI failure: Report error, suggest fix.
  • Permission errors: Give user the command for their terminal.

Output

Status summary (done/partial/missing), what's left, next step.

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. 1mo ago First seen · 44 lines · 43 tokens per session scan A b92d1c0ffdca

Subscribe to this mod's changes

validate-loop is a skill published in the GitHub repository SkeneTechnologies/skene (126 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 456 once invoked, about $0.0002 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 2026-08-30.

Related

Other skills, from other repositories

ai-session-search

Search, recover, inspect, export, and analyze local AI session history with AI Session Search (aise) across Claude Code, Claude Desktop local agent, Codex, Cursor, Antigravity, Pi coding agent, Prime Agent, Google AI Studio, and Gemini CLI. Use when asked to "find prior AI work", "recover context after compaction"…

ahundt/ai-session-search · 108 tokens

cli2skill

Turn any CLI or MCP server into an Agent Skill. Use when you want to replace an MCP server with a zero-overhead CLI skill, or generate a skill from any command-line tool's --help output.

2233admin/cli2skill · 46 tokens

burnd-analyze-spend

Analyze your OpenClaw API spend — total cost, cost last 7 days, top cost leaks by model and provider, and concrete steps to reduce your bill. Use when the user asks about their AI spending, costs, budget, or which models are costing the most.

garvitsurana271/burnd · 62 tokens

brain-log

Show brain sync and evolution history.

toroleapinc/claude-brain · 10 tokens

humanizer

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague…

profclaw/profclaw · 92 tokens

healthcheck

System health monitoring and diagnostics - checks profClaw API, Redis, Docker, disk, memory, and processes with actionable status reports.

profclaw/profclaw · 29 tokens