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 coreline-ai/codex-resstyle-skill --skill response-style-syncgit clone --depth 1 https://github.com/coreline-ai/codex-resstyle-skillWrote 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/coreline-ai/codex-resstyle-skill/response-style-sync)<a href="https://agentmods.dev/skills/coreline-ai/codex-resstyle-skill/response-style-sync"><img src="https://agentmods.dev/badge/skills/coreline-ai/codex-resstyle-skill/response-style-sync.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 5.1 | $0.00098 | $0.01024 |
| Opus 5 | $0.00049 | $0.00512 |
| Sonnet 5 | $0.00020 | $0.00205 |
| Haiku 4.5 | $0.00010 | $0.00102 |
Grade A, and why
response-style-sync 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 7d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Response Style Sync
Overview
Use this skill to manage project rules as reusable JSON profiles and sync them into AGENT.md / CLAUDE.md.
The skill supports three separate policy layers:
- response style
- agent execution policy
- LLM / proxy usage policy
Quick workflow
- Read any existing project rule sources.
- Check user instructions from the conversation.
- Read existing
AGENT.md,CLAUDE.md, or other rule files if they exist. - Extract stable defaults, not one-off task requests.
- Create or update the three profiles.
response-style.profile.jsonagent-policy.profile.jsonllm-policy.profile.json- Recommended path:
<project>/.codex/rules/
- Sync the project files.
- Run
scripts/sync_project_rules.py --project <path> --style-profile ... --agent-policy ... --llm-policy ... - By default this updates both
AGENT.mdandCLAUDE.md. - The script preserves content outside the managed block when files already exist.
- Keep rules operational.
- Write short rules another agent can follow.
- Prefer explicit behavior over slogans.
- Keep style, workflow, and LLM-cost policy separate.
Key naming convention
Use the new shorter keys by default:
profile_idlanguage_modedetail_levelplanning_rulescloud_api_rules
The script still accepts older aliases such as profile_name, language_policy, or planning_policy for backward compatibility.
Profile split
response-style profile
Use for:
- Korean-first or match-user language behavior
- answer structure
- detail level and tone
- verification reporting style
- formatting preferences
agent-policy profile
Use for:
- ask-before-proceed rules
- dev-plan-first workflow
- parallel-agent preference
- scope expansion restrictions
- persona and review stance
llm-policy profile
Use for:
- cloud API restriction policy
- proxy-first rules
- preferred repos such as
multi_model_tui - latest OSS proxy research checklist
- cost / compatibility / compliance notes
What ships with it
12 files 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.
- agents/openai.yaml 314 B
- assets/agent-policy.profile.template.json 1.7 KB
- assets/AGENT.md.template 225 B
- assets/CLAUDE.md.template 226 B
- assets/llm-policy.profile.template.json 1.5 KB
- assets/response-style.profile.template.json 1.7 KB
- references/agent-policy-schema.md 1.5 KB
- references/llm-policy-schema.md 1.5 KB
- references/proxy-selection-checklist.md 1.6 KB
- references/style-profile-schema.md 1021 B
- scripts/sync_project_rules.py 9.3 KB runs code
- scripts/sync_response_style.py 1.7 KB runs code
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.
- 7d ago First seen · 140 lines · 98 tokens per session scan A 1ee43d1859dc
response-style-sync is a skill published in the GitHub repository coreline-ai/codex-resstyle-skill (2 stars, last pushed 4mo ago), licensed MIT. It adds 98 tokens to every session and 1,024 once invoked, about $0.0005 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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