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.
npx skills add openshift-eng/ai-helpers --skill payload-snapshotgit clone --depth 1 https://github.com/openshift-eng/ai-helpersWrote 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.
[](https://agentmods.dev/skills/openshift-eng/ai-helpers/payload-snapshot)<a href="https://agentmods.dev/skills/openshift-eng/ai-helpers/payload-snapshot"><img src="https://agentmods.dev/badge/skills/openshift-eng/ai-helpers/payload-snapshot/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.
<a href="https://agentmods.dev/skills/openshift-eng/ai-helpers/payload-snapshot"><img src="https://agentmods.dev/badge/skills/openshift-eng/ai-helpers/payload-snapshot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.06205 |
| Opus 5.5 | $0.00014 | $0.02482 |
| Sonnet 5.5 | $0.00007 | $0.01241 |
| Haiku 4.5 | $0.00004 | $0.00620 |
Grade A, and why
payload-snapshot 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.
How it starts
The opening of the file, as written. The whole thing — 444 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Payload Snapshot
This skill downloads all data needed to analyze an OpenShift payload into a local directory tree. The resulting snapshot can be navigated entirely via file reads — no live API calls required during analysis.
When to Use This Skill
Use this skill when you need to:
- Analyze a rejected payload and want all data available locally before starting
- Create a reproducible snapshot of payload state at a point in time
- Track test failure regressions across multiple payloads
- Work offline or reduce API calls during payload analysis
Prerequisites
-
Python 3 (3.10 or later)
- Uses only standard library (no external dependencies)
-
GitHub CLI (
gh) — for PR diff, comment, and job data- Install:
brew install gh(macOS) or see https://cli.github.com - Authenticate:
gh auth login - Without
gh, release controller data is still fetched; PR data is skipped
- Install:
-
Google Cloud SDK (
gcloud) — for JUnit test result download- Install:
brew install google-cloud-sdk(macOS) or see https://cloud.google.com/sdk - Authentication is not required — the CI artifact buckets are public and are read anonymously when no account is configured
- Without
gcloudentirely, JUnit data is skipped and the snapshot is reported as incomplete (see Data completeness)
- Install:
-
Container runtime (
podman) — for RHCOS RPMDB extraction- Install: available in most Linux distributions;
brew install podmanon macOS - Requires access to the release image registry (e.g.,
registry.ci.openshift.org) - Without
podman, RPMDB data is skipped; all other data is still collected
- Install: available in most Linux distributions;
-
rpmCLI — for the RPM changelog diffs between payloads- Queries the already-extracted RPMDBs locally; no network, no root
- Without
rpm, changelog diffs are skipped; the RPMDBs themselves are still extracted
-
Network access to:
*.ocp.releases.ci.openshift.org(release controller)sippy.dptools.openshift.org(historical payload fallback)api.github.com(viaghCLI)storage.googleapis.com(viagcloudCLI)
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 444 lines · 36 tokens per session scan A bc6ccfb32c23
payload-snapshot is a skill published in the GitHub repository openshift-eng/ai-helpers (119 stars, last pushed yesterday), licensed Apache-2.0. It adds 36 tokens to every session and 6,205 once invoked, about $0.0001 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 2026-09-03.
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