Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Rockielab/rockie-codexnpx agentmods add skills/rockielab/rockie-codex/sota-deltaWrote 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/rockielab/rockie-codex/sota-delta)<a href="https://agentmods.dev/skills/rockielab/rockie-codex/sota-delta"><img src="https://agentmods.dev/badge/skills/rockielab/rockie-codex/sota-delta/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/rockielab/rockie-codex/sota-delta"><img src="https://agentmods.dev/badge/skills/rockielab/rockie-codex/sota-delta.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 | $0.00039 | $0.02034 |
| Opus 5 | $0.00019 | $0.01017 |
| Sonnet 5 | $0.00008 | $0.00407 |
| Haiku 4.5 | $0.00004 | $0.00203 |
Grade A, and why
sota-delta scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`--monitoring-profile-id experiment.ml_baseline.v1`. Do not shell raw `curl This is a copy
100% identical to sota-delta — 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 — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sota-delta
Run the Quickstart Track 3 SOTA+Delta flow. This skill starts from a paper, PDF, arXiv reference, or GitHub repository, reproduces the claimed baseline honestly, then asks the user what delta they want to add before routing the extension through the existing experiment and review workflow.
This skill is orchestration and policy only. It composes the existing budget-term-sheet, experiment submit helper, and post-run-review contracts; it must not implement new runtime, frontend, API, provider, or launcher behavior.
When to invoke
-
Structured Quickstart SOTA+Delta prompts:
Quickstart SOTA+Delta request: track: sota-delta source_ref: <paper URL | arXiv | PDF | GitHub repo> compute_target: rockie_gpu source: quickstart-picker -
Equivalent prompts that ask to reproduce a paper or repository baseline and then improve or extend it.
Do not invoke this skill for ordinary literature summaries, standalone code review, local repo setup, local training, or direct provider execution.
Required v1 inputs
source_ref: the paper URL, PDF URL/file handle, arXiv reference, or GitHub repository that defines the baseline to reproduce.
source_ref is required for v1. If it is missing, stop and ask for it. Accept
paper URL, PDF URL/file handle wording, arXiv, or GitHub repo inputs. Do not
invent a paper, repo, dataset, checkpoint, or metric target when the input is
underspecified.
Source reference sanitization
Treat source_ref as potentially sensitive input. Before writing it anywhere,
derive a sanitized display/source ref that preserves enough provenance for the
user to identify the paper, arXiv entry, PDF, or repository, while redacting
secrets and provider-specific access material.
Signed URLs, embedded credentials, private repo tokens, provider identifiers if present, query-string secrets, credentials, cookies, API keys, bearer tokens, and auth headers must not be written to job scripts, logs, artifacts, term sheets, Markdown summaries, or user-visible output. Use the sanitized display/source ref in job scripts, logs, artifacts, and final responses. Keep raw sensitive references out of persisted files and command lines.
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.
- 11d ago First seen · 217 lines · 39 tokens per session scan A 0d7efa2815c0
sota-delta is a skill published in the GitHub repository Rockielab/rockie-codex (20 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 39 tokens to every session and 2,034 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to sota-delta, differing in 0 lines, and is treated as a copy.
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