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/dikamilo/dx-workflow/dx-framenpx skills add dikamilo/dx-workflow --skill dx-framegit clone --depth 1 https://github.com/dikamilo/dx-workflowWrote 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/dikamilo/dx-workflow/dx-frame)<a href="https://agentmods.dev/skills/dikamilo/dx-workflow/dx-frame"><img src="https://agentmods.dev/badge/skills/dikamilo/dx-workflow/dx-frame.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 | $0.00023 | $0.00763 |
| Opus 5 | $0.00012 | $0.00381 |
| Sonnet 5 | $0.00005 | $0.00153 |
| Haiku 4.5 | $0.00002 | $0.00076 |
Grade A, and why
dx-frame 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dx-frame
Settle the WHAT before the HOW. Run a deep interview on problem framing and alternatives for a change or effort, then write frame.md in its folder. The interview is the cure for misalignment — a perfect plan on the wrong problem loses the day. This makes the framing half explicit and skippable, so dx-plan can jump straight to solution design.
Guard. Resolve <id> under context/changes/ or context/efforts/. If it is missing, tell the user to run /dx-new first. If the path is under context/archive/, refuse — an archived container is done.
1 — Gather settled context
Read change.md (or effort.md) — note type. Read every existing research/<topic>.md, and diagnosis.md and brainstorm.md if present, as settled context; don't re-ask what research already answered. A brainstorm.md already chose the route and priced the do-nothing — deepen its ## Conclusion & route into a full framing rather than reopening it, and treat its ## Not doing as out of scope already decided. Read foundation/glossary.md for naming (a one-line habit — no section). Each artifact is a decision already made.
If the interview below surfaces a term that clashes with the glossary, is vague/overloaded, or finally gets pinned down, invoke dx-domain right then — don't just note it and keep talking.
2 — Interview (invoke dx-references with interview)
One question at a time, each offering a few concrete options with one recommended, walking the decision tree until the framing resolves. If the codebase or a research doc can answer a question, explore instead of asking. Scale the count down by whatever upstream already settled. Stay on the WHAT — the real problem and the alternatives — never solution design; that is dx-plan's job. Don't manufacture a reframe: "the initial framing was right" is a valid outcome.
If change.md's type is refactor (or this is a refactor effort), also invoke dx-references with module-design and frame in its vocabulary — deep vs shallow modules, seams, the deletion test.
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 · 48 lines · 23 tokens per session scan A cdd249eb33f8
dx-frame is a skill published in the GitHub repository dikamilo/dx-workflow (5 stars, last pushed 20d ago), licensed MIT. It adds 23 tokens to every session and 763 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 2026-08-31.
Other skills, from other repositories
claude-md-improver
Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project…
agent-platform-rag-engine-management
Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…
agent-platform-model-registry
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
Use when evaluating A-share limit-up (涨停板) setups through Chen Hao's sentiment and momentum lens: market emotion cycles, board strength, follow-through, and short-term aggressive momentum trading.
comet-github
将 Comet GitHub 维护请求路由到基于证据的 PR 审阅、Issue 分诊、本地想法收集、CI 诊断或 Issue 实施流程。用户提到 Comet GitHub Issue/PR 但未指定流程,或询问下一步如何处理时使用。.