Borrowing it
Nothing to install: this file belongs to dixus/claudeframework. 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/dixus/claudeframework/main/.claude/skills/0_spec/SKILL.mdgit clone --depth 1 https://github.com/dixus/claudeframeworkWrote 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/dixus/claudeframework/0_spec)<a href="https://agentmods.dev/skills/dixus/claudeframework/0_spec"><img src="https://agentmods.dev/badge/skills/dixus/claudeframework/0_spec/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/dixus/claudeframework/0_spec"><img src="https://agentmods.dev/badge/skills/dixus/claudeframework/0_spec.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 | $0.00026 | $0.03946 |
| Opus 5.5 | $0.00010 | $0.01578 |
| Sonnet 5.5 | $0.00005 | $0.00789 |
| Haiku 4.5 | $0.00003 | $0.00395 |
Grade A, and why
0_spec 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 1mo 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create a detailed spec for the following feature: $ARGUMENTS
$ARGUMENTS is an optional feature name or focus hint. The primary requirements source is .claude/input/.
Steps:
- Read CLAUDE.md for project context and conventions
- Read all files in
.claude/context/if the directory exists — these are long-lived project references (schemas, API docs, glossaries) 2b. Resolve linked work items — if the input or$ARGUMENTSmentions a ticket/issue ID (e.g. "Ticket 1234", "#1234", "1234.Improvement..."), try to fetch it using the project's configured work-item tracker. Check which MCP tools are available (Azure DevOps, Jira, Linear, GitHub Issues, or similar). If a tool is available, fetch the ticket with comments and linked items. Review resolved related/parent items: their linked commits, branches, and PRs point to prior work. Rungit show <sha>orgit log <main>..<branch>on those references and fold the actual implementation status into the spec. Doing this before codebase exploration prevents you from re-scoping work that is already done elsewhere. If no tracker MCP tool is available, skip this step. - Read all files in
.claude/input/if the directory exists — these are the raw requirements materials (docs, images, wireframes, PDFs). Treat them as the primary source of truth for what to build - Explore the codebase to understand the relevant architecture — find and read the files most likely affected by this feature
4b. Check completed work: Before deferring any scope (especially frontend) because a dependency "is not yet implemented", verify the actual completion status. If a work-item tracker was queried in Step 2b, resolved related/parent items expose linked commits and branches. Use
git show <sha>orgit log <main>..<branch>to inspect what was actually built. If no tracker is available, checkgit logfor related branch names or commit messages. Never assume a dependency is missing — check first. - Identify: which files will change, what new files are needed, and what existing patterns to follow
- Before writing the spec, surface any ambiguous requirements or missing decisions. Ask 2–3 targeted clarifying questions — use selectable answer options where possible to keep responses fast. Wait for answers before proceeding. Skip this step if the requirements are already unambiguous. 6b. For PRDs that involve UI/UX decisions or architectural patterns not explicitly stated in the requirements, always surface these as questions — even if the PRD appears complete. Mark them as "(Implementation choice — not in PRD)" so the user knows they are optional and can be skipped if Claude should decide freely. Examples: component selection, state management granularity, polling intervals, retry logic, file upload UX patterns, where to place cross-cutting concerns in the service layer. 6c. After writing the spec, explicitly state which decisions were made freely (not specified in the PRD) under a section called "Decisions made by Claude". This makes assumptions visible and prevents silent architectural drift.
- Write the spec to
.claude/specs/<kebab-case-feature-name>.mdwith these sections:- Goal: one-sentence summary
- Requirements: bulleted list of what it must do
- Out of scope: what it explicitly will not do
- Affected files: list existing files that will change and why
- New files: list any new files needed
- Patterns to mirror: 2–3 specific existing files whose structure, naming, or style the implementation should follow — this is the codebase intelligence that lets
/1_implementmatch conventions without exploring - Implementation notes: key decisions, edge cases to handle
- UX concept (REQUIRED when the PRD includes a Frontend section — never silently drop frontend scope; if deferring, state the target PRD explicitly):
- Component tree: hierarchical breakdown of components needed (leaf → container), noting which are new vs existing. Use indentation to show nesting.
- Interaction flows: describe each distinct user journey as a numbered sequence of steps. For multi-step flows (wizards, forms, onboarding), include: trigger → intermediate states → success state → error/edge states. Use mermaid
stateDiagram-v2for complex flows with branching. - State & data flow: which component owns which state, what gets lifted, what goes into global store vs local state. Map data dependencies (e.g. "ResultsChart reads
scoresfrom Zustand store, computed bycalculateScores()in scoring engine"). - Responsive behavior: specify layout changes at breakpoints if the feature involves layout (e.g. "stack cards vertically below
md"). Skip if not applicable. - Accessibility: required keyboard navigation, ARIA roles, focus management, screen reader considerations. At minimum: all interactive elements keyboard-reachable, form inputs labeled, error states announced.
- Reuse check: list existing UI components/patterns in the codebase that can be reused or extended instead of built from scratch. Avoid creating new components when existing ones can be composed.
- Contract (MANDATORY — this is the machine-checkable gate. It replaces the older prose-only
Validation criteriasection as the canonical statement of "done", so do not write both):
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.
- 1mo ago Changed · +62 lines 98f2324ba050
- 2mo ago First seen · 62 lines · 26 tokens per session scan A 0e3e79e07b6d
0_spec is a skill published in the GitHub repository dixus/claudeframework (10 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 3,946 once invoked, about $0.0001 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 2026-08-31.
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