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 agentmods add skills/nexiouscaliver/omniforge/omnicheck-githubnpx skills add nexiouscaliver/OmniForge --skill omnicheck-githubgit clone --depth 1 https://github.com/nexiouscaliver/OmniForgeWrote 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/nexiouscaliver/omniforge/omnicheck-github)<a href="https://agentmods.dev/skills/nexiouscaliver/omniforge/omnicheck-github"><img src="https://agentmods.dev/badge/skills/nexiouscaliver/omniforge/omnicheck-github.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00040 | $0.02373 |
| Opus 5 | $0.00020 | $0.01187 |
| Sonnet 5 | $0.00008 | $0.00475 |
| Haiku 4.5 | $0.00004 | $0.00237 |
Grade A, and why
omnicheck-github 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 5d 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 — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OmniCheck
Verify whether requested PR changes have been applied — diff analysis + targeted nudge comments.
Check all review comment threads on a GitHub PR against the current diff. Resolved threads are marked APPLIED. Unresolved threads are analyzed by a subagent to determine if the fix was applied silently or not at all. Unaddressed threads receive nudge replies and a summary comment.
Core principle: Thread status check + diff analysis + user approval gate = accurate, non-spammy follow-up.
Announce at start: "I'm using OmniCheck to verify findings on PR #{id}."
Prerequisites
ghCLI authenticated (gh auth statusto verify)- Git repository with remote pointing to GitHub
- Current working directory is in the git repo
- PR must have review comment threads
Input Parsing
Accept any of: PR number (136), prefixed (#136), or full GitHub URL.
Extract PR ID. If URL provided, extract owner/repo and PR number.
The Process
Phase 1: GATHER — fetch all threads + PR diff/data
Phase 2: ANALYZE — single subagent checks each open thread against the diff
Phase 3: REPORT — present status table, user approves nudge list
Phase 4: NUDGE — reply on each NOT_APPLIED thread + post summary PR comment
Phase 5: DONE — no cleanup needed (no worktrees)
Thread Verdicts
| Verdict | Meaning | Action |
|---|---|---|
APPLIED |
Thread is resolved/dismissed — trusted as-is | None |
SILENTLY_APPLIED |
Thread open, but diff shows the concern was addressed | Note in summary only |
NOT_APPLIED |
Thread open, diff shows no relevant change | Nudge: thread reply + summary row |
NEEDS_HUMAN |
Ambiguous — cannot determine from diff alone | Flag in report; no automatic nudge |
Phase 1: Gather
Step 1: Fetch all review comment threads.
mcp__omniforge__fetch_pr_discussions(pr_id="{id}", repo_root="{cwd}")
Returns structured threads with: comment_id, type, file_path, line_number, body, author, replies. The tool already excludes discussions whose notes are all system-generated — every thread returned contains at least one human note.
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.
- 5d ago First seen · 268 lines · 40 tokens per session scan A e1bb5fd6b6b6
omnicheck-github is a skill published in the GitHub repository nexiouscaliver/OmniForge (4 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 2,373 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 2026-08-31.
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