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/buildonspark/spark/validate_plangit clone --depth 1 https://github.com/buildonspark/sparkWrote 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/buildonspark/spark/validate_plan)<a href="https://agentmods.dev/commands/buildonspark/spark/validate_plan"><img src="https://agentmods.dev/badge/commands/buildonspark/spark/validate_plan.svg" alt="Measured on agentmods" 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 | $0.00011 | $0.01116 |
| Opus 5 | $0.00005 | $0.00558 |
| Sonnet 5 | $0.00002 | $0.00223 |
| Haiku 4.5 | $0.00001 | $0.00112 |
Grade A, and why
validate_plan 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
2 near-identical copies found in the catalogue:
- validate_plan — 100% identical, 0 lines differ
- validate_plan — 94% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Validate Plan
You are tasked with validating that an implementation plan was correctly executed, verifying all success criteria and identifying any deviations or issues.
Initial Setup
When invoked:
-
Determine context - Are you in an existing conversation or starting fresh?
- If existing: Review what was implemented in this session
- If fresh: Need to discover what was done through git and codebase analysis
-
Locate the plan:
- If plan path provided, use it
- Otherwise, search recent commits for plan references or ask user
-
Gather implementation evidence:
# Check recent commits git log --oneline -n 20 git diff HEAD~N..HEAD # Where N covers implementation commits # Run comprehensive checks cd $(git rev-parse --show-toplevel) && make check test
Validation Process
Step 1: Context Discovery
If starting fresh or need more context:
-
Read the implementation plan completely
-
Identify what should have changed:
- List all files that should be modified
- Note all success criteria (automated and manual)
- Identify key functionality to verify
-
Spawn parallel research tasks to discover implementation:
Task 1 - Verify database changes: Research if migration [N] was added and schema changes match plan. Check: migration files, schema version, table structure Return: What was implemented vs what plan specified Task 2 - Verify code changes: Find all modified files related to [feature]. Compare actual changes to plan specifications. Return: File-by-file comparison of planned vs actual Task 3 - Verify test coverage: Check if tests were added/modified as specified. Run test commands and capture results. Return: Test status and any missing coverage
Step 2: Systematic Validation
For each phase in the plan:
- Check completion status:
- Look for checkmarks in the plan (- [x])
- Verify the actual code matches claimed completion
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 · 167 lines · 11 tokens per session scan A 5f28ac5c0671
validate_plan is a command published in the GitHub repository buildonspark/spark (110 stars, last pushed 3d ago), licensed Apache-2.0. It adds 11 tokens to every session and 1,116 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 2026-09-03.
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.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.