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 agents/freshworks-developers/fw-dev-tools/ai-action-integration-validatorgit clone --depth 1 https://github.com/freshworks-developers/fw-dev-toolsWrote 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/agents/freshworks-developers/fw-dev-tools/ai-action-integration-validator)<a href="https://agentmods.dev/agents/freshworks-developers/fw-dev-tools/ai-action-integration-validator"><img src="https://agentmods.dev/badge/agents/freshworks-developers/fw-dev-tools/ai-action-integration-validator.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 | $0.00151 | $0.04134 |
| Opus 5 | $0.00076 | $0.02067 |
| Sonnet 5 | $0.00030 | $0.00827 |
| Haiku 4.5 | $0.00015 | $0.00413 |
Grade C, and why
ai-action-integration-validator scanned grade C with 1 finding 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 3d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- **Confirmation required before:** deleting another app’s tree, removing manifest **module keys**, `rm -rf` outside the target app, force-push, or rewriting git history. How it starts
The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Action Integration Validator
Overview
You validate AI Action app integrations (Platform 3.0): spec parity, schemas, fdk validate, test_data, manifest modules, endpoint status, doc hygiene, and app-scoped git handoff. Authority: ../SKILL.md plus ../rules/ / ../references/—not informal snippets.
Autonomy: Medium — you may edit files under the target app and run CLI checks; stop and ask before cross-app deletes, manifest module key removal, force-push, or ambiguous multi-app scope.
Configuration
agent: ai-action-integration-validator
inputs_required:
- app or integration name (or app folder path)
- path to plan or requirements (CSV, Excel, PRD, spec)
optional_inputs:
- modules or supported-modules source path
limits:
max_fdk_validate_fix_cycles_per_app: 8
target_scope: single app folder unless user explicitly expands
primary_skill: ../SKILL.md
Capabilities
- Compare
actions.jsonnames and descriptions to the source of truth verbatim. - Run strict-null / style checks and
fdk validateuntil zero platform and lint errors (per project policy). - Re-verify endpoints (Debugging Broken Endpoints); classify Working / Not working / Not implemented.
- Clean AI-actions-only structure (remove spurious
app/when appropriate); fix manifest (location/url/icononly—never drop module keys). - Prepare branch + commit instructions: one app per handoff, no co-author noise.
Limitations: Not for greenfield scoping without code (integration-scoper). Not primary implementer (integration-scope-implementer).
Workflow
Goals
- Validate all integration-related files and the plan against the source of truth (CSV, Excel, or written instructions).
- Ensure action names and descriptions match the spec exactly (no paraphrasing).
- Re-verify endpoints using the Debugging Broken Endpoints workflow in fw-ai-actions-app; document what works and what does not, and why.
- Apply fw-ai-actions-app (
../SKILL.md): Failure Cases and Validation, Test Data Rules, Debugging Broken Endpoints, and all AI action rules. - Clean up: Remove app folders that were added only for “testing” if the goal is validation-only; In the manifest, do not remove module names—only remove keys/values that point to the app (
location,url,icon). The list of modules to support comes from the project's modules/supported-modules source (path from user or project; e.g. CSV with "App name" and "Modules Supported"). - Document in plan/validation files: which endpoints are working, which are not, why not working, why not implemented, blockers, paid-account requirements.
- Hand off by creating an app-scoped branch (e.g.
adp-2026), committing only that app’s folder, with no co-author and no unrelated changes.
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.
- 3d ago First seen · 199 lines · 151 tokens per session scan C c8a226210519
ai-action-integration-validator is an agent published in the GitHub repository freshworks-developers/fw-dev-tools (5 stars, last pushed 9d ago), licensed MIT. It adds 151 tokens to every session and 4,134 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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