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/growilabs/growi-mcp-server/validate-gapgit clone --depth 1 https://github.com/growilabs/growi-mcp-serverWrote 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/growilabs/growi-mcp-server/validate-gap)<a href="https://agentmods.dev/commands/growilabs/growi-mcp-server/validate-gap"><img src="https://agentmods.dev/badge/commands/growilabs/growi-mcp-server/validate-gap.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 | $0.00009 | $0.00311 |
| Opus 5 | $0.00005 | $0.00156 |
| Sonnet 5 | $0.00002 | $0.00062 |
| Haiku 4.5 | $0.00001 | $0.00031 |
Grade A, and why
validate-gap 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 5d 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 validate-gap — 14 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
Implementation Gap Validation
Parse Arguments
- Feature name:
$1
Validate
Check that requirements have been completed:
- Verify
.kiro/specs/$1/exists - Verify
.kiro/specs/$1/requirements.mdexists
If validation fails, inform user to complete requirements phase first.
Invoke Subagent
Delegate gap analysis to validate-gap-agent:
Use the Task tool to invoke the Subagent with file path patterns:
Task(
subagent_type="validate-gap-agent",
description="Analyze implementation gap",
prompt="""
Feature: $1
Spec directory: .kiro/specs/$1/
File patterns to read:
- .kiro/specs/$1/spec.json
- .kiro/specs/$1/requirements.md
- .kiro/steering/*.md
- .kiro/settings/rules/gap-analysis.md
"""
)
Display Result
Show Subagent summary to user, then provide next step guidance:
Next Phase: Design Generation
If Gap Analysis Complete:
- Review gap analysis insights
- Run
/kiro:spec-design $1to create technical design document - Or
/kiro:spec-design $1 -yto auto-approve requirements and proceed directly
Note: Gap analysis is optional but recommended for brownfield projects to inform design decisions.
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.
- 5d ago First seen · 53 lines · 9 tokens per session scan A e6905ea78695
validate-gap is a command published in the GitHub repository growilabs/growi-mcp-server (19 stars, last pushed 1mo ago), licensed MIT. It adds 9 tokens to every session and 311 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to validate-gap, differing in 14 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.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.