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 dotoricode/tink-harness --skill tink-deep-castgit clone --depth 1 https://github.com/dotoricode/tink-harnessWrote 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/dotoricode/tink-harness/tink-deep-cast)<a href="https://agentmods.dev/skills/dotoricode/tink-harness/tink-deep-cast"><img src="https://agentmods.dev/badge/skills/dotoricode/tink-harness/tink-deep-cast/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/dotoricode/tink-harness/tink-deep-cast"><img src="https://agentmods.dev/badge/skills/dotoricode/tink-harness/tink-deep-cast.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 | $0.00022 | $0.00215 |
| Opus 5 | $0.00011 | $0.00108 |
| Sonnet 5 | $0.00004 | $0.00043 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
Tink: Deep Cast 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 8d 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
Tink Deep Cast
This is the Codex alias for $tink:deep-cast <task>.
- Read
../tink-core/RULES.mdfirst. - Treat this invocation as
$tink:cast <task>withcast_modeforced todeepfor this run only. - Do not modify
cast_modein.tink/config.json. - Always run the structured interview (Round 0 구성 파악 + Rounds 1–10) before harness selection.
- After the interview produces a spec, proceed to the full Procedure starting at step 3.
- Follow the canonical Tink operating rules, approval gates, run state, and verification policy.
- Accept legacy
$tink deep-cast <task>wording as the same action, but present$tink:deep-cast <task>in guidance.
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.
- 8d ago First seen · 17 lines · 22 tokens per session scan A 056f81abbb7b
Tink: Deep Cast is a skill published in the GitHub repository dotoricode/tink-harness (1 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 215 once invoked, about $0.0001 per session on Opus 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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