What is rulesync-feature-research?

A research process for matching features of coding-agent clients with upstream documentation and the local rulesync implementation. Coding-agent clients are tools that use AI to help write or change code.

It helps evaluate rulesync issues, compare clients, check supported capabilities, and plan mappings for specific clients.

It makes feature support comparisons reproducible instead of relying on assumptions about what each client can do.

rulesync-feature-research — Skill by dyoshikawa

Install

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.

agentmods

npx agentmods add skills/dyoshikawa/rulesync/rulesync-feature-research

Any agent

npx skills add dyoshikawa/rulesync --skill rulesync-feature-research

Clone the repo

git clone --depth 1 https://github.com/dyoshikawa/rulesync

Made for: Claude Code, Codex.

Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,323 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00045	$0.01323
Opus 5	$0.00023	$0.00661
Sonnet 5	$0.00009	$0.00265
Haiku 4.5	$0.00005	$0.00132

Measured 2d ago against content hash 203aa3fd26b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rulesync-feature-research 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 2d 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.

.rulesync/skills/rulesync-feature-research/SKILL.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Rulesync Feature Research

What

Build a reproducible map between a coding-agent client, an upstream feature surface, and the local rulesync implementation.

Request target	Read
`antigravity`	`references/antigravity.md`
`augmentcode`	`references/augmentcode.md`
`claudecode`	`references/claudecode.md`
`cline`	`references/cline.md`
`codexcli`	`references/codexcli.md`
`copilot`	`references/copilot.md`
`copilotcli`	`references/copilotcli.md`
`cursor`	`references/cursor.md`
`deepagents`	`references/deepagents.md`
`factorydroid`	`references/factorydroid.md`
`geminicli`	`references/geminicli.md`
`goose`	`references/goose.md`
`junie`	`references/junie.md`
`kilo`	`references/kilo.md`
`kiro`	`references/kiro.md`
`opencode`	`references/opencode.md`
`pi`	`references/pi.md`
`qwencode`	`references/qwencode.md`
`replit`	`references/replit.md`
`roo`	`references/roo.md`
`rovodev`	`references/rovodev.md`
`takt`	`references/takt.md`
`warp`	`references/warp.md`
`windsurf`	`references/windsurf.md`
`zed`	`references/zed.md`
Any other rulesync target	`references/rulesync-source-map.md` + the closest existing client map

Read the full file on GitHub · 139 lines

Files

What ships with it

28 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.

Changes

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.

2d ago First seen · 139 lines · 45 tokens per session scan A 203aa3fd26b9

Subscribe to this mod's changes

rulesync-feature-research is a skill published in the GitHub repository dyoshikawa/rulesync (1,373 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 1,323 once invoked, about $0.0002 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.

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