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/spillwavesolutions/agent-brain/speckit.implementgit clone --depth 1 https://github.com/SpillwaveSolutions/agent-brainWhat 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 | $0.00014 | $0.02046 |
| Opus 5 | $0.00007 | $0.01023 |
| Sonnet 5 | $0.00003 | $0.00409 |
| Haiku 4.5 | $0.00001 | $0.00205 |
Grade A, and why
speckit.implement 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.
This is a copy
92% identical to speckit.implement — 9 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spec directory: All SDD artifacts live under
.speckit/(features, templates, scripts, memory).
User Input
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Outline
-
Run
.speckit/scripts/bash/check-prerequisites.sh --json --require-tasks --include-tasksfrom repo root and parse FEATURE_DIR and AVAILABLE_DOCS list. All paths must be absolute. For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'''m Groot' (or double-quote if possible: "I'm Groot"). -
Check checklists status (if FEATURE_DIR/checklists/ exists):
-
Scan all checklist files in the checklists/ directory
-
For each checklist, count:
- Total items: All lines matching
- [ ]or- [X]or- [x] - Completed items: Lines matching
- [X]or- [x] - Incomplete items: Lines matching
- [ ]
- Total items: All lines matching
-
Create a status table:
| Checklist | Total | Completed | Incomplete | Status | |-----------|-------|-----------|------------|--------| | ux.md | 12 | 12 | 0 | ✓ PASS | | test.md | 8 | 5 | 3 | ✗ FAIL | | security.md | 6 | 6 | 0 | ✓ PASS | -
Calculate overall status:
- PASS: All checklists have 0 incomplete items
- FAIL: One or more checklists have incomplete items
-
If any checklist is incomplete:
- Display the table with incomplete item counts
- STOP and ask: "Some checklists are incomplete. Do you want to proceed with implementation anyway? (yes/no)"
- Wait for user response before continuing
- If user says "no" or "wait" or "stop", halt execution
- If user says "yes" or "proceed" or "continue", proceed to step 3
-
If all checklists are complete:
- Display the table showing all checklists passed
- Automatically proceed to step 3
-
-
Load and analyze the implementation context:
- REQUIRED: Read tasks.md for the complete task list and execution plan
- REQUIRED: Read plan.md for tech stack, architecture, and file structure
- IF EXISTS: Read data-model.md for entities and relationships
- IF EXISTS: Read contracts/ for API specifications and test requirements
- IF EXISTS: Read research.md for technical decisions and constraints
- IF EXISTS: Read quickstart.md for integration scenarios
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 · 138 lines · 14 tokens per session scan A ffb7226aac69
speckit.implement is a command published in the GitHub repository SpillwaveSolutions/agent-brain (117 stars, last pushed 2d ago), licensed MIT. It adds 14 tokens to every session and 2,046 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to speckit.implement, differing in 9 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.
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.