helm-nightly-check-with-openclaw

helm-nightly-check-with-openclaw is a skill for Claude Code, Codex from PostOakLabs/ainumbers. It costs 49 tokens per session (551 once invoked), scanned A, original, MIT.

A nightly workflow for recomputing data extracts with Helm-related tooling and reporting failures. It compares each run with the previous day's recorded result.

In plain words
What is it for?
It searches for workflow packs, performs dry runs, executes and verifies each pack, compares execution records with yesterday, and posts a status table to a team channel.
Why use it?
It surfaces input failures, verification failures, stale data, and unexpected changes without asking a person to inspect every successful run.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit It searches for workflow packs, performs dry runs, executes and verifies each pack, compares execution records with yesterday, and posts a status table to a team channel.

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Install with agentmods
npx agentmods add skills/postoaklabs/ainumbers/helm-nightly-check-with-openclaw
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 PostOakLabs/ainumbers --skill helm-nightly-check-with-openclaw
Clone the repo
git clone --depth 1 https://github.com/PostOakLabs/ainumbers

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.

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README.md
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Your own site
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Your own site · 80×15
<a href="https://agentmods.dev/skills/postoaklabs/ainumbers/helm-nightly-check-with-openclaw"><img src="https://agentmods.dev/badge/skills/postoaklabs/ainumbers/helm-nightly-check-with-openclaw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 551 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 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 $0.00049 $0.00551
Opus 5.5 $0.00020 $0.00220
Sonnet 5.5 $0.00010 $0.00110
Haiku 4.5 $0.00005 $0.00055

Measured 15d ago against content hash cdb4e13700ef, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

helm-nightly-check-with-openclaw 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 15d 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/helm-nightly-check-with-openclaw/SKILL.md · 39 lines

What it actually says

Helm nightly check with OpenClaw

Every night, recompute my extracts with helmd and post failures to my channel.

Prompt

Nightly loop for a paired helmd: recompute your packs and post only the failures.

  1. helmd catalog.search for each pack family you own (for example "2052a"); record the workflow ids and manifest digests.
  2. For each pack, helmd workflow.dry_run against today's extract files. Record any dry-run gate failures; those are your input problems, fix them before the real run.
  3. helmd workflow.run each pack for real. Poll helmd artifact.get for each run's execution_hash and per-step digests.
  4. helmd artifact.verify each run against its manifest digest. Classify: VERIFIED, FAILED, or STALE (digest drifted from yesterday).
  5. Compare each execution_hash with yesterday's note. A hash that changes when the extract did not change is your top alarm; quote the changed step.
  6. Give me the per-pack table: workflow id, digest, execution_hash, class.
  7. Write the nightly note for your channel: failures first, then the table, then the one command a teammate runs on their own helmd to reproduce any line. State plainly that nothing here required trusting your machine: every line re-verifies from the manifest digest. If a named tool is not in your tool list, call call_tool with { "name": "", "arguments": { … } }. It runs the same validation and returns the same receipt.

How to run

Connect an MCP-capable host to https://mcp.ainumbers.co/mcp, then give the prompt above to the assistant.

Use synthetic inputs only. Never paste personal or production data.

Verify what came back

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. 15d ago Changed cdb4e13700ef
  2. 19d ago First seen · 39 lines · 49 tokens per session scan A a1009ebfb209

Subscribe to this mod's changes

helm-nightly-check-with-openclaw is a skill published in the GitHub repository PostOakLabs/ainumbers (11 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 551 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 2026-09-27.

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