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/ddunnock/claude-plugins/analyzegit clone --depth 1 https://github.com/ddunnock/claude-pluginsWhat 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 | $0.00012 | $0.01043 |
| Opus 5 | $0.00006 | $0.00522 |
| Sonnet 5 | $0.00002 | $0.00209 |
| Haiku 4.5 | $0.00001 | $0.00104 |
Grade A, and why
analyze 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.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md before implementation.
User Input
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Goal
Identify inconsistencies, duplications, ambiguities, and underspecified items across the three core artifacts before implementation. This is a pre-implementation quality gate.
Operating Constraints
STRICTLY READ-ONLY: Do not modify any files. Output a structured analysis report.
Directive Authority: The project directives in .claude/memory/ are non-negotiable. Directive conflicts are automatically CRITICAL and require adjustment of the spec, plan, or tasks.
Memory Directives
Load these directive files for compliance checking:
Always loaded:
constitution.md- Global principles, quality gatessecurity.md- Security requirementstesting.md- Test coverage requirements (80% minimum)documentation.md- Documentation standards
Project-specific (detected: Python ≥3.11, Poetry, MCP SDK):
python.md- Python standards, Pyright strict, ruff, Google-style docstringsgit-cicd.md- Conventional commits, CI pipeline
Artifacts to Analyze
| Artifact | Source |
|---|---|
| spec.md | speckit/spec.md |
| plan.md | speckit/plan.md |
| tasks.md | speckit/*-tasks.md |
Detection Passes
A. Duplication Detection
- Identify near-duplicate requirements
- Mark lower-quality phrasing for consolidation
B. Ambiguity Detection
- Flag vague adjectives (fast, scalable, secure) lacking measurable criteria
- Flag unresolved placeholders (TODO, TKTK, ???,
<placeholder>)
C. Underspecification
- Requirements with verbs but missing measurable outcome
- User stories missing acceptance criteria
- Tasks referencing undefined components
D. Directive Alignment (Agent)
Invoke compliance-checker agent:
subagent_type: "speckit-generator:compliance-checker"
prompt: "Check compliance of speckit/*.md against .claude/memory/constitution.md and all tech-specific memory files"
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 · 178 lines · 12 tokens per session scan A bc509ff95b11
analyze is a command published in the GitHub repository ddunnock/claude-plugins (12 stars, last pushed 5mo ago), licensed MIT. It adds 12 tokens to every session and 1,043 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 2026-08-30.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
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.
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.