Fleet snapshot

Anonymous counts across all complete scans this week. No repository names are shown.

498 repositories were scanned for AI-context hygiene.

717 AI-context risk signals matched 22 sensitive path categories.

1% of scanned repos use a dedicated AI exclude file (2 types in use).

How to read this report

These are not confirmed leaks.

Radar uses path-level checks to detect files and folders that may become visible to AI coding tools if they are not covered by AI-specific ignore rules.

A risk signal is a file committed to the repository whose path matches a sensitive category (for example .env or *.pem). Counts are file matches at the path level — Radar never opens the files.

  • No file contents were read.
  • No secrets were collected.
  • No repository names are published without opt-in.
  • Repositories are a manually curated cohort, not a random sample — read these as directional signals, not population-level statistics.

Scanned

498
repos in this week's stats

AI-context risk signals

717
sensitive path matches

Repos with risk signals

30%
149 of 498 repos

AI exclude-file coverage

1%
repos with a dedicated AI exclude file
Scan details
Targeted
500
Scanned
498
Scan complete
498
Skipped
0
Errors
2
Repos with risk signals
149
Generated
Aug 10, 2026, 2:04 PM UTC
Tool version
0.21.0–0.21.0
Ruleset
e634955c141dcfc6

AI-context risk signal categories

Aggregated path pattern counts — not tied to any named repository.

  • Environment files (.env)Required57 repos · 181 matches
  • Key material (.pem, .key)Required19 repos · 40 matches
  • Key FilesRequired12 repos · 19 matches
  • Secrets YamlRequired3 repos · 3 matches
  • Credentials JsonRequired1 repo · 1 match
  • Kubernetes configRequired1 repo · 1 match
  • npm credentials (.npmrc)Recommended50 repos · 63 matches
  • Pgp KeysRecommended7 repos · 46 matches
  • Firebase Client ConfigRecommended4 repos · 24 matches
  • Aws FilesRecommended1 repo · 12 matches
  • Android KeystoreRecommended6 repos · 11 matches
  • Auth JsonRecommended4 repos · 10 matches
  • Yarn ConfigRecommended5 repos · 7 matches
  • Pkcs12 P12Recommended4 repos · 4 matches
  • Docker configRecommended1 repo · 2 matches
  • Pkcs12 PfxRecommended2 repos · 2 matches
  • Apple P8 KeysRecommended1 repo · 1 match
  • Htpasswd FilesRecommended1 repo · 1 match
  • Log FilesInfo25 repos · 268 matches
  • Backup FilesInfo9 repos · 10 matches
  • Data ExportsInfo2 repos · 6 matches
  • Local DatabasesInfo2 repos · 5 matches

AI exclude files

1% of repos use a dedicated AI exclude file

These actually keep matching files out of AI context — and they are still rare.

Show 9 more exclude file types (2 in use overall)

AI context files

28% of repos ship an AI context file

Files like AGENTS.md and CLAUDE.md give AI tools project instructions — theyadd context, they do not exclude anything. They are not a substitute for an exclude file.

Fix the top risks

Patterns covering this week's most widespread categories (Environment files (.env), npm credentials (.npmrc), Certificates and PEM keys (.pem), Private keys (.key)). Add them to a dedicated AI exclude file (for example .cursorignore or.claudeignore) — and to .gitignore so the files are never committed.

AI exclude rules
.env
.env.*
!.env.example
.npmrc
*.pem
*.key
certs/
secrets/

Per-category guidance lives in the risk pattern guides.

Compared with previous report

MetricRadar #6Radar #7
Repositories scanned497498
AI exclude-file coverage1%1%
Repos with risk signals33%30%
AI-context risk signals (absolute)1091717
Risk signals per scanned repo2.21.4
Top categoryLog FilesLog Files

Named participants

Per-repository reports for maintainers who opted in. Fleet counts above stay anonymous; each card below is that repo's own scan.

No named listings this week. Maintainers can opt in via radar registry.

View all-time participants →

Check your own project

149 of 498 repos this week exposed sensitive paths to AI tools. Check yours in seconds:

Run the same local check with Offsend CLI:

brew install --cask offsend/tap/offsend-cli
offsend show
offsend prepare --dry-run

Everything runs locally. No file contents are uploaded.