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/omnifix-githubnpx skills add nexiouscaliver/OmniForge --skill omnifix-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/omnifix-github)<a href="https://agentmods.dev/skills/nexiouscaliver/omniforge/omnifix-github"><img src="https://agentmods.dev/badge/skills/nexiouscaliver/omniforge/omnifix-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 | $0.00037 | $0.04860 |
| Opus 5 | $0.00018 | $0.02430 |
| Sonnet 5 | $0.00007 | $0.00972 |
| Haiku 4.5 | $0.00004 | $0.00486 |
Grade C, and why
omnifix-github scanned grade C with 1 finding 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 4d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf .worktrees/omnifix-{pr_id} .worktrees/omnifix-triage-{pr_id}-* 2>/dev/null How it starts
The opening of the file, as written. The whole thing — 508 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OmniFix
Automated review finding fixer — triage with parallel subagents, sequential fixing, verification, comment replies.
Fetch unresolved review threads from a GitHub PR, triage each finding with parallel subagents in isolated worktrees, present results for user approval, apply approved fixes sequentially, verify with a fresh-eyes agent, commit, post replies on threads, and clean up.
Core principle: Parallel triage + user approval gate + sequential fix + verification = safe, high-quality automated fixes.
Announce at start: "I'm using OmniFix to fix review 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 unresolved 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
Input: PR number with unresolved review findings
|
v
Phase 1: GATHER — fetch unresolved comments + PR data
|
v
Phase 2: TRIAGE — N parallel subagents validate findings in read-only worktrees
|
v
Phase 3: APPROVE — present triage results, user explicitly approves
| (NO code changes until approval)
v
Phase 4: FIX — single subagent applies approved fixes sequentially in writable worktree
|
v
Phase 5: VERIFY — fresh-eyes verification subagent reviews all changes
|
v
Phase 6: COMMIT + POST — commit, push (with permission), reply on threads
|
v
Phase 7: CLEANUP — remove all worktrees (ALWAYS runs)
Phase 1: Gather
Fetch ALL data before dispatching triage agents.
Step 1: Fetch discussions/review comments.
mcp__omniforge__fetch_pr_discussions(pr_id="{id}", repo_root="{cwd}")
Returns structured review comment threads with: comment_id, type (inline/general), file_path, line_number, body, author, replies.
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.
- 4d ago First seen · 508 lines · 37 tokens per session scan C 6a06a4ea38bb
omnifix-github is a skill published in the GitHub repository nexiouscaliver/OmniForge (3 stars, last pushed 9d ago), licensed MIT. It adds 37 tokens to every session and 4,860 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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