doc-post

doc-post is a skill for Claude Code from opendatahub-io/ai-helpers. It costs 37 tokens per session (800 once invoked), scanned A, original, Apache-2.0.

A workflow for posting validation or code-review findings as comments on GitHub pull requests or GitLab merge requests.

In plain words
What is it for?
Use it to load validation and review files, create a summary, and post inline or overall findings to a PR or MR.
Why use it?
It turns findings saved in the workspace into structured comments without manually reformatting or choosing the platform commands.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: model in frontmatter.

Part of the odh-documentation plugin — 9 skills shipped together

Good fit Use it to load validation and review files, create a summary, and post inline or overall findings to a PR or MR.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/opendatahub-io/ai-helpers/doc-post
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 opendatahub-io/ai-helpers --skill doc-post
Clone the repo
git clone --depth 1 https://github.com/opendatahub-io/ai-helpers

Made for: Claude Code.

Or install odh-documentation, the plugin that ships this one along with the rest of its 9 skills.

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 doc-post

README.md
[![agentmods](https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/doc-post/github.svg)](https://agentmods.dev/skills/opendatahub-io/ai-helpers/doc-post)
Your own site
<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/doc-post"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/doc-post/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 doc-post

Your own site · 80×15
<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/doc-post"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/doc-post.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 800 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: 1 finding, 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 Excessive Agency · line 8
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 $0.00037 $0.00800
Opus 5 $0.00018 $0.00400
Sonnet 5 $0.00007 $0.00160
Haiku 4.5 $0.00004 $0.00080

Measured 10d ago against content hash ea76ddd2cebf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

doc-post 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 10d 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.

plugins/odh-documentation/skills/doc-post/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

doc-post

Post validation and review findings as comments on a PR/MR.

Parse arguments

$ARGUMENTS contains:

  1. PR URL: GitHub or GitLab PR/MR URL (required)
  2. Flags (optional):
    • --validation: post validation findings only
    • --review: post review findings only
    • --all (default): post both validation and review findings

Step 1: Detect platform

From the PR URL, determine the platform:

  • github.com → GitHub (use gh CLI)
  • Other → GitLab (use GitLab API)

Step 2: Load findings

Based on flags, read the relevant findings files:

  • Validation: workspace/validation-findings.json
  • Review: workspace/review-findings.json

If a requested file doesn't exist, warn and skip it.

Step 3: Format comments

Summary comment

Create a summary comment with an overview table:

## Documentation Review Results

| Category | High | Medium | Low | Total |
|----------|------|--------|-----|-------|
| Validation | 0 | 3 | 5 | 8 |
| Review | 1 | 2 | 3 | 6 |
| **Total** | **1** | **5** | **8** | **14** |

**Review confidence**: 0.78

### High-severity findings

1. **[ref_model-serving-params.adoc:42]** Technical inaccuracy: The documented API field 'replicas' should be 'minReplicas'
   - **Suggestion**: Change 'replicas' to 'minReplicas' per the CRD type definition

### Medium-severity findings

1. **[con_model-serving.adoc:15]** Vale: Use 'Red Hat OpenShift AI' instead of 'RHOAI' on first reference

Inline comments (GitHub only)

For findings that reference specific files and lines in the PR's changed files:

  1. Get the list of changed files: gh pr view <URL> --json files
  2. For each finding that references a changed file, post an inline review comment
  3. For findings in files not in the PR diff, include them in the summary comment

Step 4: Post comments

GitHub

# Post summary comment
gh pr comment <PR-URL> --body "<summary>"

# Post inline review (if applicable)
gh api repos/{owner}/{repo}/pulls/{number}/reviews \
  --method POST \
  --field body="Documentation review complete" \
  --field event="COMMENT" \
  --field comments="[...]"

Read the full file on GitHub · 112 lines

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. 10d ago First seen · 112 lines · 37 tokens per session scan A ea76ddd2cebf

Subscribe to this mod's changes

doc-post is a skill published in the GitHub repository opendatahub-io/ai-helpers (37 stars, last pushed 2d ago), licensed Apache-2.0. It adds 37 tokens to every session and 800 once invoked, about $0.0002 per session on Opus 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.

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