GitHub security policy link before public bug report
Publish a SECURITY.md so the issue flow points sensitive reports to the right path before a public thread turns into a trust leak.
Why this can grow a startup
A public repository earns trust partly by showing what should not happen in public. Without a visible security policy, reporters improvise, maintainers scramble, and the product can look careless right when the first serious problem arrives. GitHub surfaces a repository security policy in the place where people are about to open an issue, which means the instruction shows up before the mistake rather than after it. That helps the team protect users, but it also tells evaluators that the maintainers have basic operating discipline. On developer products, that credibility matters almost as much as the fix itself.
Source guidance
GitHub Docs says a SECURITY.md file in the root, docs, or .github folder creates a visible security-policy row, and people opening an issue will see a link to that policy.
Source-reported evidence
Source: GitHub Docs: Adding a security policy to your repository
GitHub recognizes SECURITY.md from the root, docs, or .github folder and links it from the issue-opening flow.
Attributed to the cited source; GrowthDex has not independently verified it. Use this as context, not as a forecast, benchmark, or recommended target.
Evidence scope: claims and metrics are attributed to the linked source; GrowthDex has not independently replicated the reported result. Check the original context and validate fit before applying it. Read the evidence methodology.
When to use it
Use this when GitHub, Security, Trust is relevant to security intake, buyer trust, issue prevention and you can run a bounded test with a free budget.
When not to use it
Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.
How to do it
- Choose one target segment and define the exact next action this tactic should prompt.
- Adapt the tactic to GitHub and Security, using evidence from GitHub Docs: Adding a security policy to your repository as context—not as a promised result.
- Record a baseline for: Share of qualified repository visitors who successfully install and complete the first core action. Set a guardrail that would make you pause the test.
- Run a narrow pilot and choose a test window that fits the normal decision or use cycle; do not scale before you have observed the full cycle.
- Compare the signal with its baseline. Scale only if the intended action improves without crossing the guardrail; otherwise revise one variable or stop and record what you learned.
Compare a stack for your situation
Compare source-backed tactics against your product, stage, budget and channel strengths, then choose one experiment to test.
Explore the context
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Apply this with an operator
Choose product surfaces that compound distribution without hiding weak activation or retention.