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 skills add d-padmanabhan/agent-engineering-handbook --skill independent-verificationgit clone --depth 1 https://github.com/d-padmanabhan/agent-engineering-handbookWrote 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/skills/d-padmanabhan/agent-engineering-handbook/independent-verification)<a href="https://agentmods.dev/skills/d-padmanabhan/agent-engineering-handbook/independent-verification"><img src="https://agentmods.dev/badge/skills/d-padmanabhan/agent-engineering-handbook/independent-verification/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/d-padmanabhan/agent-engineering-handbook/independent-verification"><img src="https://agentmods.dev/badge/skills/d-padmanabhan/agent-engineering-handbook/independent-verification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00097 | $0.02533 |
| Opus 5 | $0.00048 | $0.01267 |
| Sonnet 5 | $0.00019 | $0.00507 |
| Haiku 4.5 | $0.00010 | $0.00253 |
Grade A, and why
independent-verification scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Independent Verification
Use this skill to obtain evidence-backed review from a verifier that did not implement the change. This is a risk-control workflow, not a simulated panel and not a substitute for accountable human approval.
The mandatory trigger and release gate are owned by the workflow rule (${HANDBOOK_ROOT}/rules/010-workflow.mdc). This skill owns the verification procedure and artifact contract.
Non-Negotiable Principles
- Deterministic evidence comes first. Run applicable tests, lint, type checks, builds, policy checks, security scans, plans, and schema validation before asking a model to interpret the result.
- Freeze the review target. Bind the request to an exact commit SHA and SHA-256 digest of the reviewed diff or patch. Moving branches and mutable working trees are not approval targets.
- Separate implementer and verifier. Prefer a different tool and model provider. At minimum, use a fresh session with no implementer reasoning or hidden chain-of-thought.
- Keep the verifier read-only. It reports findings and a verdict. It does not edit files, run deployments, write Git state, dismiss findings, or approve its own output.
- Use a trusted controller. A small deterministic wrapper creates worktrees, runs commands, enforces limits, checks hashes, and writes artifacts. The model never receives broad credentials or arbitrary write authority.
- Invalidate stale verdicts. Any reviewed-file, commit, diff-hash, requirement, policy, or deterministic-evidence change requires another verification.
- AI verdicts are advisory. A model cannot satisfy a mandatory human approval, CODEOWNERS review, protected-environment approval, or regulated sign-off.
When Independent Verification Is Required
Require this workflow for:
- authentication, authorization, IAM, PKI, secrets, cryptography, or tenant boundaries;
- production infrastructure, deployment controls, destructive data/schema migrations, or rollback-sensitive changes;
- privacy, regulated data, financial calculations, safety-critical behavior, or irreversible external actions;
- broad architecture decisions, trust-boundary changes, or changes with difficult rollback;
- explicit user, policy, CODEOWNERS, compliance, or release-process requirements.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 259 lines · 97 tokens per session scan A eecc2bb044bd
independent-verification is a skill published in the GitHub repository d-padmanabhan/agent-engineering-handbook (17 stars, last pushed today), licensed MIT. It adds 97 tokens to every session and 2,533 once invoked, about $0.0005 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.
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