Borrowing it
Nothing to install: this file belongs to donbr/lifesciences-research. 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/donbr/lifesciences-research/main/.claude/commands/speckit.specify.mdgit clone --depth 1 https://github.com/donbr/lifesciences-researchWrote 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/donbr/lifesciences-research/speckit.specify)<a href="https://agentmods.dev/commands/donbr/lifesciences-research/speckit.specify"><img src="https://agentmods.dev/badge/commands/donbr/lifesciences-research/speckit.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/donbr/lifesciences-research/speckit.specify"><img src="https://agentmods.dev/badge/commands/donbr/lifesciences-research/speckit.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 | $0.02801 |
| Opus 5 | $0.00006 | $0.01401 |
| Sonnet 5 | $0.00003 | $0.00560 |
| Haiku 4.5 | $0.00001 | $0.00280 |
Grade A, and why
speckit.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 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
73% identical to specify — 193 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 — 259 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).
Outline
The text the user typed after /speckit.specify in the triggering message is the feature description. Assume you always have it available in this conversation even if $ARGUMENTS appears literally below. Do not ask the user to repeat it unless they provided an empty command.
Given that feature description, do this:
-
Generate a concise short name (2-4 words) for the branch:
- Analyze the feature description and extract the most meaningful keywords
- Create a 2-4 word short name that captures the essence of the feature
- Use action-noun format when possible (e.g., "add-user-auth", "fix-payment-bug")
- Preserve technical terms and acronyms (OAuth2, API, JWT, etc.)
- Keep it concise but descriptive enough to understand the feature at a glance
- Examples:
- "I want to add user authentication" → "user-auth"
- "Implement OAuth2 integration for the API" → "oauth2-api-integration"
- "Create a dashboard for analytics" → "analytics-dashboard"
- "Fix payment processing timeout bug" → "fix-payment-timeout"
-
Check for existing branches before creating new one:
a. First, fetch all remote branches to ensure we have the latest information:
git fetch --all --pruneb. Find the highest feature number across all sources for the short-name:
- Remote branches:
git ls-remote --heads origin | grep -E 'refs/heads/[0-9]+-<short-name>$' - Local branches:
git branch | grep -E '^[* ]*[0-9]+-<short-name>$' - Specs directories: Check for directories matching
specs/[0-9]+-<short-name>
c. Determine the next available number:
- Extract all numbers from all three sources
- Find the highest number N
- Use N+1 for the new branch number
d. Run the script
.specify/scripts/bash/create-new-feature.sh --json "$ARGUMENTS"with the calculated number and short-name:- Pass
--number N+1and--short-name "your-short-name"along with the feature description - Bash example:
.specify/scripts/bash/create-new-feature.sh --json "$ARGUMENTS" --json --number 5 --short-name "user-auth" "Add user authentication" - PowerShell example:
.specify/scripts/bash/create-new-feature.sh --json "$ARGUMENTS" -Json -Number 5 -ShortName "user-auth" "Add user authentication"
- Remote branches:
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 · 259 lines · 13 tokens per session scan A 9ed7aaa9512f
speckit.specify is a command published in the GitHub repository donbr/lifesciences-research (7 stars, last pushed 6d ago), licensed MIT. It adds 13 tokens to every session and 2,801 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 73% identical to specify, differing in 193 lines, and is treated as a copy.
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