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-AI-Skills --skill engineering-deliverygit clone --depth 1 https://github.com/TIKAZI/TIKAZ-AI-SkillsWrote 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-ai-skills/engineering-delivery)<a href="https://agentmods.dev/skills/tikazi/tikaz-ai-skills/engineering-delivery"><img src="https://agentmods.dev/badge/skills/tikazi/tikaz-ai-skills/engineering-delivery/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-ai-skills/engineering-delivery"><img src="https://agentmods.dev/badge/skills/tikazi/tikaz-ai-skills/engineering-delivery.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 | $0.00036 | $0.00379 |
| Opus 5.5 | $0.00014 | $0.00152 |
| Sonnet 5.5 | $0.00007 | $0.00076 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
engineering-delivery 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.
What it actually says
Engineering Delivery
This TIKAZ Edition is designed, integrated, refactored, and continuously maintained by TIKAZ. External engineering playbooks are research references, not redistributed content.
Inputs
Accept a repository and an authorized change request with constraints, acceptance criteria, and release boundary. Inspect local repository instructions and current worktree state before changing files.
Workflow
- Read repository instructions, architecture, scripts, and current worktree state.
- Convert the request into scope, constraints, acceptance criteria, and non-goals.
- Plan small implementation slices and identify risky dependencies.
- Implement in the repository's established style.
- Run focused tests, then broader lint, type checks, build, and security checks in proportion to risk.
- Review the final diff for regressions, unnecessary changes, secrets, and missing documentation.
- Report completed work, verification evidence, viewing instructions, and remaining risks.
Output contract
Return the implemented diff, acceptance-criteria mapping, commands and results, viewing instructions, rollback or release note, and unresolved risk. Preserve unrelated user changes.
Validation and fallback
Do not claim success from agent confidence alone. Require user confirmation or objective file, test, build, or runtime evidence. If a required environment, credential, or production authority is missing, deliver the verified local state and name the blocker; do not simulate deployment.
Example and limits
Use engineering-delivery to implement this confirmed feature in small slices, run repository-native checks, and report the exact verification evidence.
This Skill does not expand scope, authorize destructive operations, or substitute generic checks for repository-native validation.
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 · 39 lines · 36 tokens per session scan A 65af078c93a6
engineering-delivery is a skill published in the GitHub repository TIKAZI/TIKAZ-AI-Skills (6 stars, last pushed 11d ago), licensed MIT. It adds 36 tokens to every session and 379 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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