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 skills add opsmill/infrahub-mcp --skill speckit-analyzegit clone --depth 1 https://github.com/opsmill/infrahub-mcpWrote 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/opsmill/infrahub-mcp/speckit-analyze)<a href="https://agentmods.dev/skills/opsmill/infrahub-mcp/speckit-analyze"><img src="https://agentmods.dev/badge/skills/opsmill/infrahub-mcp/speckit-analyze/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/opsmill/infrahub-mcp/speckit-analyze"><img src="https://agentmods.dev/badge/skills/opsmill/infrahub-mcp/speckit-analyze.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 | $0.00032 | $0.02403 |
| Opus 5 | $0.00016 | $0.01202 |
| Sonnet 5 | $0.00006 | $0.00481 |
| Haiku 4.5 | $0.00003 | $0.00240 |
Grade A, and why
speckit-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 9d 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
98% identical to speckit-analyze — 10 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.
How it starts
The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Input
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Pre-Execution Checks
Check for extension hooks (before analysis):
- Check if
.specify/extensions.ymlexists in the project root. - If it exists, read it and look for entries under the
hooks.before_analyzekey - If the YAML cannot be parsed or is invalid, skip hook checking silently and continue normally
- Filter out hooks where
enabledis explicitlyfalse. Treat hooks without anenabledfield as enabled by default. - For each remaining hook, do not attempt to interpret or evaluate hook
conditionexpressions:- If the hook has no
conditionfield, or it is null/empty, treat the hook as executable - If the hook defines a non-empty
condition, skip the hook and leave condition evaluation to the HookExecutor implementation
- If the hook has no
- When constructing slash commands from hook command names, replace dots (
.) with hyphens (-). For example,speckit.git.commit→/speckit-git-commit. - For each executable hook, output the following based on its
optionalflag:- Optional hook (
optional: true):## Extension Hooks **Optional Pre-Hook**: {extension} Command: `/{command}` Description: {description} Prompt: {prompt} To execute: `/{command}` - Mandatory hook (
optional: false):## Extension Hooks **Automatic Pre-Hook**: {extension} Executing: `/{command}` EXECUTE_COMMAND: {command} Wait for the result of the hook command before proceeding to the Goal.
- Optional hook (
- If no hooks are registered or
.specify/extensions.ymldoes not exist, skip silently
Goal
Identify inconsistencies, duplications, ambiguities, and underspecified items across the three core artifacts (spec.md, plan.md, tasks.md) before implementation. This command MUST run only after /speckit-tasks has successfully produced a complete tasks.md.
Operating Constraints
STRICTLY READ-ONLY: Do not modify any files. Output a structured analysis report. Offer an optional remediation plan (user must explicitly approve before any follow-up editing commands would be invoked manually).
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.
- 9d ago First seen · 261 lines · 32 tokens per session scan A 2eef0fbff6ca
speckit-analyze is a skill published in the GitHub repository opsmill/infrahub-mcp (10 stars, last pushed 2d ago), licensed Apache-2.0. It adds 32 tokens to every session and 2,403 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to speckit-analyze, differing in 10 lines, and is treated as a copy.
Other skills, from other repositories
lambda-gpu-cloud
Safely inspect and operate Lambda Cloud GPU instances through the documented Cloud API and SSH, with explicit approval before billable or destructive actions.
runpod-gpu-cloud
Safely inspect and operate RunPod resources with runpodctl, live product data, and explicit approval before paid or destructive actions.
tensorpool-gpu-cloud
Safely inspect and operate TensorPool GPU clusters and jobs using the current tp CLI, with explicit approval before any billable or destructive action.
vast-ai-gpu-cloud
Safely inspect and operate Vast.ai marketplace instances with the vastai CLI, live offer data, and explicit approval before paid or destructive actions.
givemeanode-agent-compute
Operate GiveMeANode GPU nodes, batch jobs, storage, and rollout sandboxes through its connected MCP server with bounded spend, durable recovery, and explicit approval for paid or destructive actions.
tmux-manual-qa
Run a single manual tmux-based QA scenario for the todo continuation feature against the real CLI (./pi-test.sh) in an interactive TUI. Captures scrollback, asserts deterministic pass/fail count markers, and cleans up test fixtures. Use only for the manual-qa milestone features.