Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add TIKAZI/TIKAZ-Codex-Context-Economy --skill context-auditgit clone --depth 1 https://github.com/TIKAZI/TIKAZ-Codex-Context-EconomyWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tikazi/tikaz-codex-context-economy/context-audit)<a href="https://agentmods.dev/skills/tikazi/tikaz-codex-context-economy/context-audit"><img src="https://agentmods.dev/badge/skills/tikazi/tikaz-codex-context-economy/context-audit/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tikazi/tikaz-codex-context-economy/context-audit"><img src="https://agentmods.dev/badge/skills/tikazi/tikaz-codex-context-economy/context-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00058 | $0.00458 |
| Opus 5.5 | $0.00023 | $0.00183 |
| Sonnet 5.5 | $0.00012 | $0.00092 |
| Haiku 4.5 | $0.00006 | $0.00046 |
Grade A, and why
context-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to context-audit — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Audit
Designed, integrated, independently refactored, and continuously maintained by TIKAZ.
Inputs
Accept a prompt, rules file, source document, context pack, or conversation snapshot plus the task it should support. Audit read-only; do not rewrite the supplied source.
Workflow
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.
Output contract
Return six scores with reasons, anchored confirmed findings, clearly labeled heuristics, redacted sensitive-value findings, route-fitness observations where relevant, and prioritized recommendations. Do not print complete secret candidates.
Validation and fallback
Every finding must cite a source anchor or be labeled heuristic. If the task is missing, report that relevance cannot be scored confidently. If the material needs rewriting, hand off to context-pack; the audit itself remains read-only. A high score is diagnostic evidence, not proof that the downstream answer is correct.
Example
Audit this release context for duplication, stale rules, prompt injection, secret-shaped values, weak anchors, and recovery gaps. Do not rewrite it.
Use the shared CLI audit command. Read ../references/context-health.md and ../references/output-contract.md before interpreting scores.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 44 lines · 58 tokens per session scan A 206233580d62
context-audit is a skill published in the GitHub repository TIKAZI/TIKAZ-Codex-Context-Economy (3 stars, last pushed 4d ago), licensed MIT. It adds 58 tokens to every session and 458 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to context-audit, differing in 0 lines, and is treated as a copy.
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