Borrowing it
Nothing to install: this file belongs to dfch/biz.dfch.SpecMgr. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dfch/biz.dfch.SpecMgr/dev/.opencode/skills/refine-feature/SKILL.mdgit clone --depth 1 https://github.com/dfch/biz.dfch.SpecMgrWrote 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/dfch/biz.dfch.specmgr/refine-feature)<a href="https://agentmods.dev/skills/dfch/biz.dfch.specmgr/refine-feature"><img src="https://agentmods.dev/badge/skills/dfch/biz.dfch.specmgr/refine-feature/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/dfch/biz.dfch.specmgr/refine-feature"><img src="https://agentmods.dev/badge/skills/dfch/biz.dfch.specmgr/refine-feature.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 | $0.00132 | $0.00493 |
| Opus 5.5 | $0.00053 | $0.00197 |
| Sonnet 5.5 | $0.00026 | $0.00099 |
| Haiku 4.5 | $0.00013 | $0.00049 |
Grade A, and why
refine-feature 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 24d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 24d ago First seen · 41 lines · 132 tokens per session scan A 1701b541ee44
refine-feature is a skill published in the GitHub repository dfch/biz.dfch.SpecMgr (2 stars, last pushed yesterday), licensed AGPL-3.0. It adds 132 tokens to every session and 493 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-10-06.
Other skills, from other repositories
vibeue
Unreal Engine 5 development using the VibeUE Python API. Use when working in Unreal Engine — blueprints, state trees, materials, actors, landscapes, animation, niagara, widgets, sound, foliage, gameplay tags, enhanced input, skeletons, PCG (procedural content generation), and more. VibeUE is an extension of Unreal's…
link-reader
Default when the user drops a video, audio, social, or article URL without other instructions — read the original source (not search snippets), say what is still missing, explain what the source actually says, then add judgment. Use for X/Twitter, YouTube, Bilibili, podcasts, WeChat, Xiaohongshu, and open web links.
analyzer
Turn source content or a verified transcript into a structured, evidence-grounded analysis with key insights, risks, and action items.
mcp-tools-reference
MUST READ before first MCP tool call in a session. Complete Envoy tool catalog with parameters and usage.
td-api-reference
MUST READ before writing TD Python via executepython, setdatcontent, or editdatcontent, and before any heavy build. Parameters, storage, operators, referencing, threading, cook model, heavy-build safety caps.
brief
Compile a conversational request into an Embody task brief (briefs/.md): skills to load, discovered anchors, verifiable success criteria, and gates -- then execute the work from that contract. User-invoked via /brief.