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 commands/cloudflare/vinext/fix-issuegit clone --depth 1 https://github.com/cloudflare/vinextWhat 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 | $0.00019 | $0.00484 |
| Opus 5 | $0.00010 | $0.00242 |
| Sonnet 5 | $0.00004 | $0.00097 |
| Haiku 4.5 | $0.00002 | $0.00048 |
Grade A, and why
fix-issue scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Fix GitHub issue #$ARGUMENTS on cloudflare/vinext.
Step 1: Understand the issue
Run gh issue view $ARGUMENTS to read the issue. Understand what's expected, what's broken, and any reproduction steps.
Step 2: Create worktree and branch
Generate a short slug from the issue title (lowercase, hyphens, max 30 chars, no special chars).
git fetch origin main
git worktree add ../vinext-fix-$ARGUMENTS -b fix/$ARGUMENTS-<slug> origin/main
All subsequent commands must target the worktree directory. Use the bash tool's workdir parameter or explicit paths. Do NOT modify the main worktree.
Install dependencies in the worktree:
pnpm install
Step 3: Fix the issue
Work in ../vinext-fix-$ARGUMENTS/:
- Research the codebase to understand the problem area
- Implement the fix following the patterns described in AGENTS.md
- If touching server code, check dev/prod parity across:
entries/app-rsc-entry.tsserver/dev-server.tsserver/prod-server.tscloudflare/worker-entry.ts
- Add or update tests as appropriate
Step 4: Verify
Run all checks from the worktree:
pnpm run build
pnpm test
pnpm run typecheck
pnpm run lint
Fix any failures before proceeding.
Step 5: Commit and create PR
- Stage and commit with a clear message:
fix: <description> (#$ARGUMENTS) - Push:
git push -u origin fix/$ARGUMENTS-<slug> - Create PR:
gh pr create \
--title "fix: <description>" \
--body "Fixes #$ARGUMENTS
## Summary
<1-3 bullet points explaining what changed and why>
## Test plan
<what tests were added/updated>"
- Print the PR URL and number at the end. The review step needs the PR number.
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.
- yesterday First seen · 73 lines · 19 tokens per session scan A 686df8f58814
fix-issue is a command published in the GitHub repository cloudflare/vinext (8,698 stars, last pushed 3d ago), licensed MIT. It adds 19 tokens to every session and 484 once invoked, about $0.0001 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.