Borrowing it
Nothing to install: this file belongs to x22x22/code-cli-any-llm. 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/x22x22/code-cli-any-llm/main/.claude/commands/specify.mdgit clone --depth 1 https://github.com/x22x22/code-cli-any-llmWrote 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/x22x22/code-cli-any-llm/specify)<a href="https://agentmods.dev/commands/x22x22/code-cli-any-llm/specify"><img src="https://agentmods.dev/badge/commands/x22x22/code-cli-any-llm/specify/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/commands/x22x22/code-cli-any-llm/specify"><img src="https://agentmods.dev/badge/commands/x22x22/code-cli-any-llm/specify.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 | $0.00013 | $0.00160 |
| Opus 5.5 | $0.00005 | $0.00064 |
| Sonnet 5.5 | $0.00003 | $0.00032 |
| Haiku 4.5 | $0.00001 | $0.00016 |
Grade A, and why
specify scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to specify — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Given the feature description provided as an argument, do this:
- Run the script
.specify/scripts/bash/create-new-feature.sh --json "$ARGUMENTS"from repo root and parse its JSON output for BRANCH_NAME and SPEC_FILE. All file paths must be absolute. - Load
.specify/templates/spec-template.mdto understand required sections. - Write the specification to SPEC_FILE using the template structure, replacing placeholders with concrete details derived from the feature description (arguments) while preserving section order and headings.
- Report completion with branch name, spec file path, and readiness for the next phase.
Note: The script creates and checks out the new branch and initializes the spec file before writing.
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 First seen · 13 lines · 13 tokens per session scan A ae95fef3d071
specify is a command published in the GitHub repository x22x22/code-cli-any-llm (5 stars, last pushed 1y ago), licensed Apache-2.0. It adds 13 tokens to every session and 160 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to specify, 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.
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.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
speckit.bug.fix
Apply the remediation from a bug assessment and record what was changed.