Build-an-X workflow that produces a requirements-to-tests traceability matrix from a TCM case repository + a requirements source (Jira / Linear / GitHub Issues). Walks the author through (1) extracting requirements with stable IDs, (2) extracting cases + their refs, (3) computing coverage (which requirements have at least one test, which tests verify which requirements, orphaned cases / orphaned requirements), (4) emitting a CSV / Markdown / HTML matrix, and (5) producing an executive summary (X% requirement coverage, Y orphans, Z over-tested). Use for test coverage audits, finding requirements-coverage gaps, sprint-end coverage reviews, compliance documentation, and traceability in regulated industries.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The workflow’s required runtime ingests outsider-authored free text from Jira/GitHub/Linear issue titles and TCM case fields (including `refs`/link/tags) via its “extract requirements” and “extract cases + refs” steps, which are sourced from user-submitted issues and repository case content.
Jira issues (summaries/titles)
content-type · 4 sites
The plugin fetches Jira issues (both as requirements in Step 1 and as Xray tests in Step 2) and ingests their user-authored summary/title fields, which are outsider-authored free text susceptible to indirect prompt injection.
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issues = jira_search(jql)
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"title": i["fields"]["summary"]
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tests = jira_search(f'project = {project_key} AND issuetype = Test')
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"title": t["fields"]["summary"]
TestRail cases (titles and refs fields)
content-type · 3 sites
The plugin fetches TestRail cases and ingests their user-authored title and free-text refs fields, which are outsider-authored content susceptible to indirect prompt injection.
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for case in list_testrail_cases(project_id):
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refs = case.get("refs", "").split(",") if case.get("refs") else []
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"title": case["title"]
Linear issues (titles)
content-type · 2 sites
The plugin instructs the agent to fetch requirements from Linear issues, ingesting outsider-authored issue titles as free text susceptible to indirect prompt injection.
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Inventory the source - Jira project, Linear team, GitHub
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For Linear / GitHub Issues use the corresponding platform reference in
GitHub Issues (titles)
content-type · 3 sites
The plugin instructs the agent to fetch requirements from GitHub Issues, ingesting outsider-authored issue titles as free text susceptible to indirect prompt injection.
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Inventory the source - Jira project, Linear team, GitHub
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Issues label. Each requirement must have:
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For Linear / GitHub Issues use the corresponding platform reference in