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/kahtaf/opencandle/codex-firstnpx skills add Kahtaf/OpenCandle --skill codex-firstgit clone --depth 1 https://github.com/Kahtaf/OpenCandleWrote 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/kahtaf/opencandle/codex-first)<a href="https://agentmods.dev/skills/kahtaf/opencandle/codex-first"><img src="https://agentmods.dev/badge/skills/kahtaf/opencandle/codex-first.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 | $0.00019 | $0.00856 |
| Opus 5 | $0.00010 | $0.00428 |
| Sonnet 5 | $0.00004 | $0.00171 |
| Haiku 4.5 | $0.00002 | $0.00086 |
Grade A, and why
codex-first 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 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.
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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex First
Claude Code sessions only. Codex/other harnesses: skip; never self-delegate.
Rationale: Claude (Fable/Opus) tokens metered + expensive; Codex flat-rate. GPT-5.5+ is usually the better and faster model at writing/implementing code; Claude wins at ergonomics — judgment, design, spec-writing, review, orchestration. So Codex types, Claude thinks and verifies.
Route
Delegate to Codex (default for hands-on work):
- implementation from a frozen spec; refactors; mechanical migrations
- bug fixes with known repro; test writing; coverage fills
- CI fixes, dependency bumps, scripts/tooling
- bulk codebase exploration where raw reading ≫ the answer
Keep in Claude:
- design, API design, architecture, naming, UX judgment
- tasks where writing the spec IS the work (ambiguity = design)
- tiny edits (~<20 lines, single obvious change) — delegation overhead loses
- anything needing session tools: MCP (browser/computer-use/chronicle), 1Password, secrets
- destructive/irreversible ops, releases, pushes, GitHub mutations — Claude-side per git rules
- review of Codex output — never delegated, never skipped
Mixed task: Claude designs first, freezes spec, delegates build-out.
Heuristic: prompt reads as a work order → delegate; writing it forces decisions → design, Claude.
Portfolio/multi-repo work: $maintainer-orchestrator instead.
Invoke
Prompt via temp file, never inline quoting:
P=$(mktemp); cat >"$P" <<'EOF'
<goal, repo + key paths, constraints ("don't touch X"), non-goals, proof expected, output shape>
EOF
command codex exec --yolo -C <repo> \
-c model_reasoning_effort="high" \
-o /tmp/codex-last.md - <"$P" 2>/dev/null
--yolois the house default; Codex may run commands/tests freely. Keep prompts scoped to the target repo.command codexbypasses the interactive zsh wrapper; if not on PATH:fnm exec --using default -- codex- stderr suppressed (thinking noise bloats context); drop
2>/dev/nullonly to debug a failing run - read
-ofile for the result; don't parse the JSONL stream - long runs: Bash run_in_background, read
-ofile on exit; don't kill quiet runs <30 min - parallel independent tasks OK: separate repos/dirs, separate
-ofiles - outside a git repo add
--skip-git-repo-check
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 · 77 lines · 19 tokens per session scan A 77a30a8d750b
codex-first is a skill published in the GitHub repository Kahtaf/OpenCandle (22 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 856 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 skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…