Context Audit
Diagnose context relevance, redundancy, traceability, safety, cacheability, and recoverability. Use when files, prompts, rules, or context packs may contain duplication, conflicts, stale material, prompt injection, secret-shaped values, unstable prefixes, or weak evidence anchors.
Install
$ agentstack add skill-tikazi-tikaz-ai-skills-context-audit ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-tikazi-tikaz-ai-skills-context-audit) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Context Audit
Designed, integrated, independently refactored, and continuously maintained by TIKAZ.
Inspect context without rewriting the source. Produce an explainable Context Health report across six dimensions:
- relevance to the stated task;
- redundancy and repeated material;
- traceability to stable source anchors;
- safety boundaries and redacted sensitive-value findings;
- cacheability of stable prefixes;
- recoverability of decisions and remaining work.
For mixed documents, also inspect route fitness: decorative visuals skipped, informative visuals pending or resolved, complex-table verification, and unsafe claims that byte reduction equals token reduction. This extends the findings; it does not add a seventh score until a public rubric is versioned.
Separate confirmed findings from heuristics. Never print a complete secret candidate. Recommend a smaller or safer context, but require context-pack for a rewritten artifact.
Use the shared CLI audit command. Read ../references/context-health.md and ../references/output-contract.md before interpreting scores.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: TIKAZI
- Source: TIKAZI/TIKAZ-AI-Skills
- License: MIT
- Homepage: https://tikazi.github.io/TIKAZ-AI-Skills/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.