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/visactor/vchart/speckit.implementgit clone --depth 1 https://github.com/VisActor/VChartWhat 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 | $0.02054 |
| Opus 5 | $0.00007 | $0.01027 |
| Sonnet 5 | $0.00003 | $0.00411 |
| 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 yesterday.
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.
Copies of this mod
8 near-identical copies found in the catalogue:
- speckit.implement — 97% identical, 122 lines differ
- speckit.implement — 94% identical, 7 lines differ
- implement — 94% identical, 10 lines differ
- implement — 94% identical, 119 lines differ
- speckit.implement — 92% identical, 8 lines differ
- speckit.implement — 92% identical, 8 lines differ
- speckit.implement — 92% identical, 8 lines differ
- speckit.implement — 92% identical, 9 lines differ
How it starts
The opening of the file, as written. The whole thing — 141 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
-
Run
.specify/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.
- yesterday First seen · 141 lines · 14 tokens per session scan A 6a7fa87e48d9
speckit.implement is a command published in the GitHub repository VisActor/VChart (1,834 stars, last pushed 7d ago), licensed MIT. It adds 14 tokens to every session and 2,054 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
guide
Every method on App should have its own unit tests.
lattice-cycle
Run one Lattice work cycle — pull the next runnable tasks, dispatch the agent team, verify, commit, push, and advance the queue.
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.