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 skills add tellang/triflux --skill tfx-profilegit clone --depth 1 https://github.com/tellang/trifluxWrote 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/tellang/triflux/tfx-profile)<a href="https://agentmods.dev/skills/tellang/triflux/tfx-profile"><img src="https://agentmods.dev/badge/skills/tellang/triflux/tfx-profile/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.
<a href="https://agentmods.dev/skills/tellang/triflux/tfx-profile"><img src="https://agentmods.dev/badge/skills/tellang/triflux/tfx-profile.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00109 | $0.02214 |
| Opus 5 | $0.00055 | $0.01107 |
| Sonnet 5 | $0.00022 | $0.00443 |
| Haiku 4.5 | $0.00011 | $0.00221 |
Grade B, and why
tfx-profile scanned grade B 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 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
> Codex(`~/.codex/config.toml` + `~/.codex/<profile>.config.toml`)와 How it starts
The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
tfx-profile — Codex/Antigravity 프로파일 매니저
CLI 프로파일의 모델/effort를 AskUserQuestion 선택지로 관리합니다. Codex(
~/.codex/config.toml+~/.codex/<profile>.config.toml)와 Antigravity(~/.gemini/triflux-profiles.json) 모두 지원.
워크플로우
Step 0: CLI 선택
인자에 --codex 또는 --gemini가 있으면 해당 CLI로 직행.
없으면 AskUserQuestion으로 선택:
question: "어느 CLI의 프로파일을 관리하시겠습니까?"
header: "CLI"
options:
- label: "Codex"
description: "~/.codex/config.toml (TOML)"
- label: "Antigravity"
description: "~/.gemini/triflux-profiles.json (JSON)"
Codex 워크플로우
Step 1: Codex 설정 읽기 + 현재 상태 표시
~/.codex/config.toml의 top-level 기본값과
~/.codex/*.config.toml 프로파일 파일을 읽어 테이블을 출력한다:
| 프로파일 | 모델 | Effort |
|----------|------|--------|
| gpt56_terra_high | 프로필 설정의 현재 모델 | high |
| ... | ... | ... |
기본 모델(top-level model)과 기본 effort도 함께 표시.
Step 2: 작업 선택 (AskUserQuestion)
question: "어떤 작업을 하시겠습니까?"
header: "작업"
options:
- label: "프로파일 모델 변경"
description: "기존 프로파일의 모델/effort를 수정"
- label: "기본 모델 변경"
description: "top-level default 모델/effort 수정"
- label: "프로파일 추가"
description: "새 프로파일 생성"
- label: "프로파일 삭제"
description: "기존 프로파일 제거"
Step 3: 선택에 따른 세부 플로우
프로파일 모델 변경
- AskUserQuestion으로 프로파일 선택
- AskUserQuestion으로 프로필/alias 선택:
options: - label: "gpt56_terra_high" → 기본 고품질 (Recommended) - label: "gpt56_terra_med" → 균형형 - label: "gpt56_luna_low" → 빠른 경량 - label: "gpt56_sol_xhigh" → 고강도 추론 - label: "gpt56_sol_max" → 최난도 단일 작업 - label: "gpt56_sol_ultra" → 최상위 자동 위임 (비중첩 전용) - label: "custom" → 사용자가 관리하는 프로필 - AskUserQuestion으로 effort 선택:
low | medium | high | xhigh | max | ultra - Edit 도구로
~/.codex/<선택한 이름>.config.toml수정
기본 모델 변경
위와 동일한 모델/effort 선택 후 top-level model, model_reasoning_effort 수정.
프로파일 추가/삭제
추가: 이름 → 모델 → effort → ~/.codex/<name>.config.toml 생성
삭제: 선택 → 확인 → 해당 ~/.codex/<name>.config.toml 삭제
Step 4: 결과 확인
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 248 lines · 109 tokens per session scan B 788c4a096e43
tfx-profile is a skill published in the GitHub repository tellang/triflux (7 stars, last pushed yesterday), licensed MIT. It adds 109 tokens to every session and 2,214 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
lucia-chat
Set two agent sessions talking through the Luciazero Agent Bus and watch it live in a terminal: pick the pair, open the windows, read the transcript. Use for "ให้ codex กับ claude คุยกัน" or "watch the bus".
ready
Make an unfamiliar repository agent-ready with a verify command, smoke tests, guardrails, and project notes. Use for repository setup, agentic engineering, verify commands, hooks, or allowlists; skip when verification and scope are already clear.
handoff
Write a state capsule so the next session — or a different agent/harness — can resume unfinished work without re-deriving context. Use when a session is ending with work incomplete, when the user says "handoff", "pack up", "ส่งต่อ", "continue tomorrow", when switching between Claude Code and Codex mid-task, or when…
done
Run the closeout ritual before handing back non-trivial work; full verification, revert-probe honesty, independent review, and scope reporting. Use before declaring completion, opening a PR, wrapping up a change, or "ปิดงาน".
retro
Record durable lessons, null results, and footguns after hard work or debugging. Use when the user asks for a retro, dead ends need preserving, a task disproves an approach, or "จดบทเรียน". Keep repo knowledge separate from machine-local memory.
show
Visualize code structure, changes, and verification evidence in the smallest useful view. Use for connections, flows, diffs, file maps, Mermaid diagrams, evidence maps, or focused HTML; show facts and label unknowns.