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 commands/stanleykao72/claude-code-spec-workflow-odoo/spec-listgit clone --depth 1 https://github.com/stanleykao72/claude-code-spec-workflow-odooWrote 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/commands/stanleykao72/claude-code-spec-workflow-odoo/spec-list)<a href="https://agentmods.dev/commands/stanleykao72/claude-code-spec-workflow-odoo/spec-list"><img src="https://agentmods.dev/badge/commands/stanleykao72/claude-code-spec-workflow-odoo/spec-list.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 | $0.00000 | $0.00246 |
| Opus 5 | $0.00000 | $0.00123 |
| Sonnet 5 | $0.00000 | $0.00049 |
| Haiku 4.5 | $0.00000 | $0.00025 |
Grade A, and why
spec-list 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 6d 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.
This is a copy
100% identical to spec-list — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Spec List Command
List all specs in the current project.
Usage
/spec-list
Instructions
Display a comprehensive list of all specs in the project.
-
Scan Directory
- Look in
.claude/specs/directory - Find all spec directories
- Check for required files (requirements.md, design.md, tasks.md)
- Look in
-
Display Information
- Feature name
- Current phase
- Completion status
- Last modified date
- Brief description from requirements
-
Output Format
📋 Project Specs Overview 1. user-authentication (Complete) Phase: Implementation (7/8 tasks) Last updated: 2025-01-15 2. data-export (In Progress) Phase: Design Last updated: 2025-01-14 3. notification-system (Planning) Phase: Requirements Last updated: 2025-01-13 -
Additional Actions
- Show total spec count
- Highlight specs needing attention
- Suggest next actions for each spec
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.
- 6d ago First seen · 46 lines · 0 tokens per session scan A 4ae738b340c7
spec-list is a command published in the GitHub repository stanleykao72/claude-code-spec-workflow-odoo (44 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 246 tokens. A static security scan graded it A with 0 findings. It is 100% identical to spec-list, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.