RepoTrust

Sahir619/fable-method

The Fable Workflow: how Claude Fable 5 worked, distilled into skills any model can run, with the eval that keeps it honest. Think / act / prove.

https://github.com/Sahir619/fable-method · commit 9924067e82bd · scored 2026-11-14 · scoring prov-4+qual-2+sec-2

RepoTrust ai badge RepoTrust quality badge RepoTrust security badge

Dispute this score or request a re-score Full report JSON

Scores

Pillar Score Signal Confidence Coverage
AI provenance (estimated AI-generated share) 90 explicit 74% 100%
Code quality 74 adequate 90% 100%
Security 73 adequate 85% 100%

AI provenance

Explicit AI attribution on 90% of first-party code added; an estimated 90% including velocity signals.

AI tool Attributed commits Lines added
Claude Code 15 792

Current source lines last changed by AI-attributed commits: 664 of 753.

Too few lines in one group to compare finding densities.

Month Lines added Attributed to AI
2026-07 792 100%
2026-10 90 0%

Evidence

AI provenance describes how code was produced; it is not a quality judgment. Unless attribution is explicit, these are signals consistent with AI generation, not proof. Squash/rebase workflows, imported code, and rewritten history reduce accuracy.

Code quality

Code quality is adequate: test-to-source ratio 0.11, no CI test run detected; 0% of function code in complex or long functions; 0% duplicated lines. Weakest area: type safety.

Area Score
Complexity (lizard) 100
Duplication 100
Code smells (Opengrep) 47
Tests and CI 51
Documentation 100
Type safety 40
Process (Scorecard review/maintenance) n/a

Security

Security posture is adequate: 2 high-severity workflow issues. Weakest area: posture.

Area Score
Secrets (gitleaks, tree + history) 100
Static analysis (Opengrep) 84
Vulnerable dependencies (OSV) n/a
CI workflows (zizmor) 63
Posture (policy, updates, signing, lockfiles) 0
OpenSSF Scorecard n/a

Top findings

Severity Finding Location
high zizmor/unpinned-uses: unpinned action reference [confidence high] .github/workflows/checks.yml:10
high zizmor/unpinned-uses: unpinned action reference [confidence high] .github/workflows/checks.yml:11
medium opengrep/javascript.lang.security.audit.unsafe-dynamic-method: Using non-static data to retrieve and run functions from the object is dangerous. If the data is user-controlled, it may allow executing arbitrary code. [confidence low] eval/workflow.js:79
medium opengrep/javascript.lang.security.audit.unsafe-dynamic-method: Using non-static data to retrieve and run functions from the object is dangerous. If the data is user-controlled, it may allow executing arbitrary code. [confidence low] eval/workflow.js:91
medium zizmor/artipacked: credential persistence through GitHub Actions artifacts [confidence low] .github/workflows/checks.yml:10
medium zizmor/excessive-permissions: overly broad permissions [confidence medium] .github/workflows/checks.yml:7

Static signals only: the scorer never runs the project's code. Secret findings are pattern matches that were not verified, and secret values are never stored.

Repository profile

Language Lines
Python 618
JavaScript 133
Shell 56
PowerShell 31

Embed a badge

Maintainers can show these in a README. Badges update when the repository is re-scored.

[![RepoTrust ai](https://repotrust.synapticcyber.com/badge/github.com/Sahir619/fable-method/ai.svg)](https://repotrust.synapticcyber.com/r/github.com/Sahir619/fable-method/)
[![RepoTrust quality](https://repotrust.synapticcyber.com/badge/github.com/Sahir619/fable-method/quality.svg)](https://repotrust.synapticcyber.com/r/github.com/Sahir619/fable-method/)
[![RepoTrust security](https://repotrust.synapticcyber.com/badge/github.com/Sahir619/fable-method/security.svg)](https://repotrust.synapticcyber.com/r/github.com/Sahir619/fable-method/)