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Issue title
`self.registrar_config` used but never assigned in __init__
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Pick exactly which findings appear in the issue body. By default the top 5 are included. Uncheck noise, check what matters.
Top 5 (default)
Issue body (markdown)
## Code-quality scan: `github/spec-kit`
**Score: 91/100 (A-)** · 72 findings · scanned 2026-06-11 23:26 UTC · 69,213 LOC
| Severity | Count |
|---|---|
| CRITICAL | 0 |
| HIGH | 42 |
| MEDIUM | 21 |
| LOW | 12 |
📊 [Full filterable report](https://repobility.com/scan/fd7adca4-f4b6-4783-9a75-00a79d91bfd4/) · 
### Top findings
1. **HIGH** `SEC128` — Async function without await — fire-and-forget Promise (AI mistake)
`src/specify_cli/authentication/http.py:147`
2. **HIGH** `SEC029` — Server-Side Request Forgery (SSRF) — outbound HTTP from user input
`src/specify_cli/authentication/http.py:174` · A10:2021 SSRF
3. **HIGH** `MINED108` — `self._non_default_catalog_warning_shown` used but never assigned in __init__
`src/specify_cli/extensions.py:2017` · ✓ Repobility
4. **HIGH** `MINED108` — `self.key` used but never assigned in __init__
`src/specify_cli/integrations/base.py:1721` · ✓ Repobility
5. **HIGH** `MINED108` — `self.registrar_config` used but never assigned in __init__
`src/specify_cli/integrations/base.py:1695` · ✓ Repobility
---
**Security note**: this issue is public. If any flagged finding is a real, exploitable vulnerability, please redirect to your `SECURITY.md` policy or open a [private security advisory](https://docs.github.com/en/code-security/security-advisories/guidance-on-reporting-and-writing-information-about-vulnerabilities/privately-reporting-a-security-vulnerability) instead. We're happy to close this and re-submit privately.
---
_Filed automatically. Close this issue if not useful — we won't refile. Full report: https://repobility.com/scan/fd7adca4-f4b6-4783-9a75-00a79d91bfd4/_
Already filed
'github' is on the known-megaproject org list. These projects use auto-triage bots and established security disclosure channels. Unsolicited automated issues from Repobility would be perceived as AI-generated spam. For security findings, follow the project's SECURITY.md policy. For non-security findings, open a focused PR or community discussion instead.
Already filed
This repo publishes a SECURITY.md policy and the scan contains 14 Critical/High security finding(s). Public issue filing would violate coordinated disclosure. Submit privately via the project's security reporting channel.
Megaproject â high spam risk
Could not determine 'github/spec-kit' star count (GitHub API rate-limited or unreachable). When in doubt about repo size, prefer opening a focused PR or a discussion rather than an issue.
Already filed
192/354 findings (54%) on this scan are already flagged as test-file, won't-fix, or suppressed. The scan is too noisy to file as a single issue. Curate down to specific actionable findings, or address the FP source first.
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