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 sancovp/dinf --skill 0-dinfgit clone --depth 1 https://github.com/sancovp/dinfWrote 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/sancovp/dinf/0-dinf)<a href="https://agentmods.dev/skills/sancovp/dinf/0-dinf"><img src="https://agentmods.dev/badge/skills/sancovp/dinf/0-dinf/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/sancovp/dinf/0-dinf"><img src="https://agentmods.dev/badge/skills/sancovp/dinf/0-dinf.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 | $0.00049 | $0.00715 |
| Opus 5 | $0.00024 | $0.00358 |
| Sonnet 5 | $0.00010 | $0.00143 |
| Haiku 4.5 | $0.00005 | $0.00072 |
Grade A, and why
0-dinf 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dinf — compiled skillchain
Compiled by
skillchain.pyon 2026-08-08. Orchestrates 5 step(s) composing 5 skill(s). Dependencies (validated present at compile time):dinf-adjoin,dinf-christen,dinf-factor,dinf-shape,dinfbandit
Execute the steps below in order. Carry each step's result forward; where a step references {var}, substitute the captured value from the named earlier step.
Step 1 — invoke skill dinf-shape
the governing chain: factor to the closure, inhabit a view, lift at the boundary, join into a plan, realize it
Invoke the dinf-shape skill (no extra input)
Step 2 — invoke skill dinf-factor
FACTOR — find any framework's Ω by the three laws; what remains is k
Invoke the dinf-factor skill (no extra input)
Step 3 — invoke skill dinf-adjoin
ADJOIN — two frames fighting is a missing Ω one level up; pair them and close it
Invoke the dinf-adjoin skill (no extra input)
Step 4 — invoke skill dinf-christen
CHRISTEN — name the invariant the moment things converge, or it evaporates
Invoke the dinf-christen skill (no extra input)
Step 5 — invoke skill dinfbandit
Chain-of-reasoning (spoken, ends in a decision): factor the task to its closure, inhabit one view, lift at boundaries, join into a plan, realize it.
Invoke the dinfbandit skill (no extra input)
Done
Return the final step's output as the result of this chain.
Index summary
[0] dinf — a sc index node; opens to 3 branch(es): dinfbandit (cor), dinf-loop (sc), loop-closure-cor (cor). Reachable below: dinfbandit, dinf-shape, dinf-factor, dinf-adjoin, dinf-christen, dinf-loop, loop-closure-cor, loop-closure-attention-1, loop-closure-attention-2, loop-closure-attention-3.
Descend — the next layer (3)
Only this layer is loaded now. To descend, use the Read tool on a child below — that injects the child's layer (its persona + skills). A Bash cat reads the bytes but loads nothing; you must use the Read tool:
- 0.1-dinfbandit (cor): Read
dinfbandit/.claude/skills/0.1-dinfbandit/SKILL.md - 0.2-dinf-loop (sc): Read
dinf-loop/.claude/skills/0.2-dinf-loop/SKILL.md - 0.3-loop-closure-cor (cor): Read
loop-closure-cor/.claude/skills/0.3-loop-closure-cor/SKILL.md
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.
- 9d ago First seen · 50 lines · 0 tokens per session scan A fba38394883f
0-dinf is a skill published in the GitHub repository sancovp/dinf (1 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 715 once invoked, about $0.0002 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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