Payload
payloadcms/payload
A skill your agent uses when working with Payload projects (payload.config.ts, collections, fields, hooks, access control, Payload API).
Schema for the autodl JSON data file produced by payload-analysis for database ingestion — you must use this skill whenever generating the autodl JSON file
$ npx skills add openshift-eng/ai-helpers --skill payload-autodl-json -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openshift-eng/ai-helpers payload-autodl-json --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/openshift-eng/ai-helpers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ci/skills/payload-autodl-json .claude/skills/payload-autodl-json && 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 "payload-autodl-json" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/payload-autodl-json into .claude/skills/payload-autodl-json/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "payload-autodl-json", 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/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/payload-autodl-jsonType 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 openshift-eng/ai-helpers --skill payload-autodl-json -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openshift-eng/ai-helpers payload-autodl-json --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ci/skills/payload-autodl-json .agents/skills/payload-autodl-json && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "payload-autodl-json" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/payload-autodl-json into .agents/skills/payload-autodl-json/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "payload-autodl-json", 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 openshift-eng/ai-helpers --skill payload-autodl-json -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openshift-eng/ai-helpers payload-autodl-json --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ci/skills/payload-autodl-json .cursor/skills/payload-autodl-json && 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 "payload-autodl-json" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/payload-autodl-json into .cursor/skills/payload-autodl-json/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "payload-autodl-json", 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/openshift-eng/ai-helpers.git --path plugins/ci/skills/payload-autodl-json--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 openshift-eng/ai-helpers --skill payload-autodl-json -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openshift-eng/ai-helpers payload-autodl-json --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ci/skills/payload-autodl-json .gemini/skills/payload-autodl-json && 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 "payload-autodl-json" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/payload-autodl-json into .gemini/skills/payload-autodl-json/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "payload-autodl-json", 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 openshift-eng/ai-helpers payload-autodl-jsonInstalls 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 openshift-eng/ai-helpers --skill payload-autodl-json -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ci/skills/payload-autodl-json .github/skills/payload-autodl-json && 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 "payload-autodl-json" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/payload-autodl-json into .github/skills/payload-autodl-json/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "payload-autodl-json", 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 openshift-eng/ai-helpers --skill payload-autodl-json -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install openshift-eng/ai-helpers payload-autodl-json --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ci/skills/payload-autodl-json .opencode/skills/payload-autodl-json && 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 "payload-autodl-json" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/payload-autodl-json into .opencode/skills/payload-autodl-json/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "payload-autodl-json", 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.
payload-autodl-jsonSchema for the autodl JSON data file produced by payload-analysis for database ingestion — you must use this skill whenever generating the autodl JSON file
Payload Autodl JSON is an agent skill from openshift-eng/ai-helpers. Schema for the autodl JSON data file produced by payload-analysis for database ingestion — you must use this skill whenever generating the autodl JSON file
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts (for example `scripts/test_validate.py`, `scripts/testdata/empty_stream.json` and `scripts/testdata/empty_version.json`).
The repository describes itself as: Developer productivity tools for Claude Code & other AI assistants. The licence is Apache-2.0.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit a627176. 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.
Ships 10 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
amd64.ocp.releases.ci.openshift.orgprow.ci.openshift.orggithub.comFrom 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.
Payload Autodl JSON loads about 2.6k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 721 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); the scripts in this folder are not scanned.
The full file from openshift-eng/ai-helpers at commit a627176, republished under its Apache-2.0 licence (© openshift-eng). 721 words, ~2,588 tokens.
.claude/skills/payload-autodl-json/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.This skill defines the schema for the payload-analysis-{tag}-autodl.json file. The file is a flat denormalized table designed for database ingestion, with one row per (failed blocking job, candidate PR) pair.
Use this skill when you need to generate the autodl JSON file during payload-analysis (Step 8).
The file is written to the current working directory:
payload-analysis-<sanitized_tag>-autodl.jsonThe filename must end with -autodl.json. Sanitize the tag for filename safety (replace colons and slashes with hyphens).
{
"table_name": "payload_triage",
"schema": {
"payload_tag": "string",
"version": "string",
"stream": "string",
"architecture": "string",
"phase": "string",
"release_controller_url": "string",
"analyzed_at": "string",
"rejection_streak": "int64",
"total_blocking_jobs": "int64",
"failed_blocking_jobs": "int64",
"force_accept_recommended": "int64",
"job_name": "string",
"prow_url": "string",
"failure_type": "string",
"root_cause_summary": "string",
"streak_length": "int64",
"is_new_failure": "int64",
"originating_payload_tag": "string",
"candidate_pr_url": "string",
"candidate_title": "string",
"candidate_repo": "string",
"candidate_confidence_score": "int64",
"candidate_rationale": "string",
"revert_pr_url": "string",
"revert_pr_status": "string",
"rhcos_change_suspected": "int64",
"rhcos_suspect_packages": "string"
},
"schema_mapping": null,
"rows": [
{
"payload_tag": "4.22.0-0.nightly-2026-02-25-152806",
"version": "4.22",
"stream": "nightly",
"architecture": "amd64",
"phase": "Rejected",
"release_controller_url": "https://amd64.ocp.releases.ci.openshift.org/...",
"analyzed_at": "2026-02-26T10:30:00Z",
"rejection_streak": "5",
"total_blocking_jobs": "42",
"failed_blocking_jobs": "4",
"force_accept_recommended": "0",
"job_name": "periodic-ci-openshift-release-main-ci-4.22-e2e-aws-ovn",
"prow_url": "https://prow.ci.openshift.org/view/gs/...",
"failure_type": "test",
"root_cause_summary": "OVN gateway mode selection regression",
"streak_length": "5",
"is_new_failure": "0",
"originating_payload_tag": "4.22.0-0.nightly-2026-02-20-150000",
"candidate_pr_url": "https://github.com/openshift/cno/pull/2037",
"candidate_title": "Fix OVN gateway mode selection",
"candidate_repo": "openshift/cluster-network-operator",
"candidate_confidence_score": "95",
"candidate_rationale": "Error references code changed by this PR",
"revert_pr_url": "https://github.com/openshift/cno/pull/2038",
"revert_pr_status": "open",
"rhcos_change_suspected": "0",
"rhcos_suspect_packages": ""
},
{
"payload_tag": "4.22.0-0.nightly-2026-02-25-152806",
"version": "4.22",
"stream": "nightly",
"architecture": "amd64",
"phase": "Rejected",
"release_controller_url": "https://amd64.ocp.releases.ci.openshift.org/...",
"analyzed_at": "2026-02-26T10:30:00Z",
"rejection_streak": "5",
"total_blocking_jobs": "42",
"failed_blocking_jobs": "4",
"force_accept_recommended": "0",
"job_name": "periodic-ci-openshift-release-main-ci-4.22-e2e-gcp-ovn",
"prow_url": "https://prow.ci.openshift.org/view/gs/...",
"failure_type": "install",
"root_cause_summary": "Install timeout waiting for etcd quorum",
"streak_length": "2",
"is_new_failure": "0",
"originating_payload_tag": "4.22.0-0.nightly-2026-02-23-080000",
"candidate_pr_url": "",
"candidate_title": "",
"candidate_repo": "",
"candidate_confidence_score": "0",
"candidate_rationale": "",
"revert_pr_url": "",
"revert_pr_status": "",
"rhcos_change_suspected": "1",
"rhcos_suspect_packages": "systemd,glibc"
}
],
"chunk_size": 0,
"expiration_days": 0,
"partition_column": ""
}| Scenario | Rows for that job |
|---|---|
| Failed job, no candidate | 1 row — candidate fields are "" / "0" |
| Failed job, 1 candidate | 1 row — candidate fields populated |
| Failed job, 2+ candidates | N rows — job fields identical, candidate fields differ per candidate |
| Passed job | 0 rows — not included |
"5" not 5). The schema declares the downstream types.""). For int64 fields with no value, use "0".is_new_failure: "1" for true, "0" for false.candidate_confidence_score: Integer 0-100, e.g. "95". "0" when no candidate.revert_pr_url: URL of the revert PR — either a pre-existing revert discovered during analysis, or one created by stage-payload-reverts. "" if no revert exists.revert_pr_status: "open", "merged", "draft", "closed", or "" if no revert.schema_mapping is always null.chunk_size, expiration_days, and partition_column are always 0, 0, and "".| Field | Type | Description |
|---|---|---|
payload_tag | string | Full payload tag |
version | string | OCP version (e.g., "4.22") |
stream | string | Canonical stream type: "nightly" or "ci". For OKD payloads (e.g. okd-scos-nightly, okd-scos), map to the base type: okd-scos-nightly → "nightly", okd-scos → "ci". |
architecture | string | "amd64", "arm64", "multi", etc. |
phase | string | Payload phase: "Rejected", "Accepted", "Ready" |
release_controller_url | string | URL to the payload on the release controller |
analyzed_at | string | ISO 8601 timestamp of when the analysis was performed |
rejection_streak | int64 | Number of consecutive rejected payloads leading up to the target |
total_blocking_jobs | int64 | Total number of blocking jobs in the payload |
failed_blocking_jobs | int64 | Number of failed blocking jobs |
force_accept_recommended | int64 | 1 if all failures are temporary infrastructure, no more than 2 blocking jobs failed, and no payload accepted in 18+ hours; 0 otherwise |
| Field | Type | Description |
|---|---|---|
job_name | string | Full periodic job name |
prow_url | string | Prow URL for the failing run |
failure_type | string | "test", "install", "upgrade", or "infra" |
root_cause_summary | string | Brief description of the failure mode |
streak_length | int64 | Consecutive payloads this job has been failing |
is_new_failure | int64 | 1 if the job first started failing in the target payload, 0 otherwise |
originating_payload_tag | string | The payload where this job first started failing in the current streak |
| Field | Type | Description |
|---|---|---|
candidate_pr_url | string | GitHub PR URL, or "" if no candidate |
candidate_title | string | PR title, or "" |
candidate_repo | string | GitHub org/repo, or "" |
candidate_confidence_score | int64 | 0-100 confidence score, 0 when no candidate |
candidate_rationale | string | Explanation of why this PR is a candidate, or "" |
revert_pr_url | string | URL of a revert PR if one exists, or "" |
revert_pr_status | string | "open", "merged", "draft", "closed", or "" |
| Field | Type | Description |
|---|---|---|
rhcos_change_suspected | int64 | "1" if RHCOS RPM changes are suspected to contribute to this job's failure, "0" otherwise |
rhcos_suspect_packages | string | Comma-separated RPM package names suspected as causes (e.g., "kernel,systemd"), or "" when not suspected |
payload-analysis)Generate the full autodl JSON file with all rows populated from the analysis results. Each failed blocking job produces at least one row. Candidate fields are populated when a PR is correlated to the failure, otherwise they are empty strings / "0".
stage-payload-reverts)After staging reverts, find rows matching candidate_pr_url and set:
revert_pr_url: URL of the revert PR (created or pre-existing)revert_pr_status: "open" (or "draft" if draft)payload-experimental-reverts)Phase 1 (dispatch): After creating draft revert PRs, find rows matching candidate_pr_url and set:
revert_pr_url: URL of the draft revert PRrevert_pr_status: "draft"Phase 2 (collection): After collecting experiment results, find rows matching candidate_pr_url and update:
revert_pr_status: "open"revert_pr_url: "", revert_pr_status: "" (draft was closed)Validator: run python3 plugins/ci/skills/payload-autodl-json/scripts/validate.py <payload-autodl-file> to check generated JSON for correctness.
Related Skill: payload-analysis — creates this file in Step 8
Related Skill: stage-payload-reverts — updates revert fields after staging reverts
Related Skill: payload-experimental-reverts — updates revert fields after experiments
Related Skill: payload-results-yaml — the YAML results file for downstream agentic actions
© openshift-eng, 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
SKILL.md and 10 other files (scripts) in plugins/ci/skills/payload-autodl-json of openshift-eng/ai-helpers.
Open the folder on GitHubat commit a627176
Payload Autodl JSON 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 |
|---|---|---|---|---|---|---|
| Payload Autodl JSON this skillopenshift-eng/ai-helpers | 120 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Payloadpayloadcms/payload | 45k | 5 repos | ~6.2k | Automated safety check: Pass | MIT | |
| Payload Accessibilitypayloadcms/payload | 45k | — | ~808 | Automated safety check: Pass | MIT | |
| Kafka Producer Consumerjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~580 | Automated safety check: Pass | MIT | |
| Youtube Producercbrock84/headcount | 2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Builder Payload Smithdiscord-php/DiscordPHP | 1.1k | — | ~1.8k | Automated safety check: Pass | MIT |
payloadcms/payload
A skill your agent uses when working with Payload projects (payload.config.ts, collections, fields, hooks, access control, Payload API).
payloadcms/payload
A skill your agent uses when changing or reviewing rendered Payload UI, interaction or focus behavior, semantic markup, accessibility tests, or WCAG/VPAT evidence.
jeremylongshore/tons-of-skills-marketplace
Manage kafka producer consumer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
cbrock84/headcount
Plans, packages, and scripts long-form video for retention and channel growth — idea selection, titles and thumbnails, script structure, and diagnosing why a video or channel underperforms.
discord-php/DiscordPHP
Maintain Builder classes — outbound payload construction, validation, serialization, component handling, and fromPart symmetry.
zenstory-ai/drama-skills
在创作者明确确认后,执行短剧项目的图片、视频、TTS/配音或时间线音乐生产任务,并把结果与精简运行记录落回项目。用户说“生成这张图/这段视频/这句配音/这段配乐”“开始跑图/跑视频/合成语音/生成音乐”“把已确认提示词送去生产”,或要求批量执行已确认媒体任务时使用;不负责创作提示词、镜头、台词、歌词或声音身份,也绝不把预览、继续、预算说明或既有接受状态当作本次付费生产确认。
openshift-eng/ai-helpers
Find and independently validate actionable reliability defects across OpenShift release jobs and presubmits, then export portable issue handoffs.
openshift-eng/ai-helpers
Fetch and address all PR review comments — categorize by priority, make code changes, post replies, and push.
openshift-eng/ai-helpers
Categorize Jira issues into Red Hat Sankey Activity Type categories using MCP Jira tools.
openshift-eng/ai-helpers
Decide whether a GitHub PR has unanswered authorized review comments or new required CI failures worth a follow-up agent.
openshift-eng/ai-helpers
Analyze OpenShift must-gather diagnostic data including cluster operators, pods, nodes, and network components.
openshift-eng/ai-helpers
State management for agentic payload triage actions — you must use this skill whenever reading or writing the payload results YAML file
Schema for the autodl JSON data file produced by payload-analysis for database ingestion — you must use this skill whenever generating the autodl JSON file. Payload Autodl JSON is an agent skill from openshift-eng/ai-helpers.
Payload Autodl JSON fits situations like: generating the autodl JSON file.
Run `npx skills add openshift-eng/ai-helpers --skill payload-autodl-json -a claude-code`. Or copy the skill folder (plugins/ci/skills/payload-autodl-json in openshift-eng/ai-helpers) into .claude/skills/payload-autodl-json in your project. Claude Code loads it when a task matches its description.
Run `npx skills add openshift-eng/ai-helpers --skill payload-autodl-json -a codex`. Or copy the skill folder (plugins/ci/skills/payload-autodl-json in openshift-eng/ai-helpers) into .agents/skills/payload-autodl-json 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 openshift-eng/ai-helpers --skill payload-autodl-json -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/payload-autodl-json, .gemini/skills/payload-autodl-json, .github/skills/payload-autodl-json and .opencode/skills/payload-autodl-json in your project.
Going by SKILL.md and its folder, Payload Autodl JSON needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
SKILL.md names 3 domains. In commands or code: amd64.ocp.releases.ci.openshift.org, prow.ci.openshift.org and github.com; the agent is likely to contact these when it follows the instructions. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Payload Autodl JSON 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 2.6k tokens (SKILL.md is roughly 10k 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 Payload Autodl JSON: Payload (payloadcms/payload, 45k stars), Payload Accessibility (payloadcms/payload, 45k stars), Kafka Producer Consumer (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and Youtube Producer (cbrock84/headcount, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
openshift-eng (a GitHub organization) maintains it in openshift-eng/ai-helpers, which has 120 GitHub stars. The repository holds 118 skills in this directory. The repository was last updated on October 6, 2026.
Source: openshift-eng/ai-helpers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.