Verify AI Deliverables with Evidence
AI work can appear complete before the result is opened, tested, or checked against the request. This skill adds staged planning, real-environment verification, and honest completion levels.
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "gpt-series-reasoning-style" from https://skillstore.io/skills/jadeyingwah-gpt-series-reasoning-style.md and its manifest at https://skillstore.io/api/skills/jadeyingwah-gpt-series-reasoning-style/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "gpt-series-reasoning-style". Build a small dashboard and tell me when it is finished.
Expected outcome:
The dashboard is implemented. I opened it in the target environment, checked the main interaction, and verified the displayed totals. Mobile layout and external data refresh remain unverified.
Using "gpt-series-reasoning-style". Have two agents research and implement this feature.
Expected outcome:
Using "gpt-series-reasoning-style". Confirm that this report is correct.
Expected outcome:
The report matches the requested structure and its key figures were recalculated. Source freshness and business acceptance were not independently verified.
All 91 static findings were adjudicated as false positives because they reference public metadata, documentation, fixed repository paths, or analysis heuristics rather than executed behavior. No prompt-injection text, data-exfiltration intent, or runtime command execution was evidenced in the reviewed files.
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
https://skillstore.io/skills/jadeyingwah-gpt-series-reasoning-style/audits/6?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/jadeyingwah-gpt-series-reasoning-style?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/jadeyingwah-gpt-series-reasoning-style?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/jadeyingwah-gpt-series-reasoning-style/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/jadeyingwah-gpt-series-reasoning-style.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>jadeyingwah. (2026). gpt-series-reasoning-style security audit report (audit version 6) [Author version 1.6.0]. Skillstore. https://skillstore.io/skills/jadeyingwah-gpt-series-reasoning-style/audits/6@techreport{jadeyingwah-jadeyingwah-gpt-series-reasoning-style-2026,
author = {jadeyingwah},
title = {gpt-series-reasoning-style security audit report (audit version 6)},
institution = {Skillstore},
year = {2026},
number = {6},
url = {https://skillstore.io/skills/jadeyingwah-gpt-series-reasoning-style/audits/6},
note = {Author version 1.6.0}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "gpt-series-reasoning-style security audit report (audit version 6)"
version: "1.6.0"
type: report
authors:
- name: "jadeyingwah"
date-released: "2026-09-20"
url: "https://skillstore.io/skills/jadeyingwah-gpt-series-reasoning-style/audits/6"
identifiers:
- type: other
value: "skillstore:jadeyingwah-gpt-series-reasoning-style:audit:6"
description: "Skillstore immutable audit report identifier"
Ask an engineer or coding agent to implement a change, run focused checks, open the result, and report verified and unverified paths.
Use staged planning and explicit handoffs when several agents divide research, implementation, testing, or review.
Track whether a document, design, or analysis matches the request and distinguish technical completion from stakeholder approval.
Complete this task, then open the actual result and list what you verified, what remains unverified, and whether the request is complete.
Plan this task in clear stages. Identify the required checks and the real environment where the final result must be opened before you implement it.
Review this completed change against the original request. Recalculate important numbers, open the output, test the critical path, and mark every unverified claim.
Break this project into independent agent roles. Define handoff evidence, assign a reviewer, verify the integrated result in its real environment, and report the appropriate C1 or C2 status.
Author
jadeyingwahLicense
MIT
Author version
v1.6.0
Skillstore revision
r6
Ref
ca840d3e968d0e2f0cfde9943dd7e35a0878a763
Maintenance freshness
9/20/2026
Usage
3 downloads · 17 views
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