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 SoliEstre/EstreGenesis --skill superscalargit clone --depth 1 https://github.com/SoliEstre/EstreGenesisWrote 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/soliestre/estregenesis/superscalar)<a href="https://agentmods.dev/skills/soliestre/estregenesis/superscalar"><img src="https://agentmods.dev/badge/skills/soliestre/estregenesis/superscalar/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/soliestre/estregenesis/superscalar"><img src="https://agentmods.dev/badge/skills/soliestre/estregenesis/superscalar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00311 | $0.02340 |
| Opus 5 | $0.00156 | $0.01170 |
| Sonnet 5 | $0.00062 | $0.00468 |
| Haiku 4.5 | $0.00031 | $0.00234 |
Grade A, and why
superscalar 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 5d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Superscalar — execution-scheduling discipline
Two jobs in one skill. Invoked with an argument (/superscalar always|auto|off|status) it is a mode toggle — see §0. Invoked with no argument, or consulted before a fan-out, it is the dispatch checklist — §1 onward, read through the lens of the current mode.
0. Mode toggle — how eagerly to fan out (always | auto | off)
State = one marker file, .agent/superscalar.json → {"mode": "always"|"auto"|"off", "since": "<date>", "note": "<why>"}. Absent ⇒ auto. Read it at dispatch time; never mirror the mode into other settings surfaces.
/superscalar always— write the marker withalways·/superscalar auto— writeauto(or delete the marker) ·/superscalar off— writeoff·/superscalar status— read it back and report the mode plus where it would apply to the work in front of you.
| Mode | What it changes | What it does not change |
|---|---|---|
off |
No fan-out on your own initiative — independent work runs in declared order. An explicit user request to parallelize is still honored; record it as an override. | — |
auto (default) |
§2's cost-benefit gate arbitrates, as before. | — |
always |
Burden of proof inverts: with ≥2 independent lanes, fan out unless a veto below applies. The gate becomes a veto list, not a hurdle. Prefer Workflow/pipeline over serial inline for multi-item work. |
Every safety invariant. See below. |
always vetoes (still serial): not write-disjoint and isolation unavailable (§3, nested-repo case included) · no independent decomposition · deep shared-context work · total work below the inline-wins floor (§2, ~8k) · latency-critical interactive edit · issue_width already saturated.
Unconditional in every mode — always never loosens these: §4 irreversibility barrier · §3.1 Hyperbrief interlock on write/deploy/send lanes · §5 in-order retire + consistency gate + completeness critic · §1 issue_width caps (the prior moves, the ceiling does not) · speculation stays a separate, default-off axis.
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.
- 5d ago Changed · +2 lines 013679cf7ba9
- 10d ago First seen · 101 lines · 311 tokens per session scan A 53945bec3ab7
superscalar is a skill published in the GitHub repository SoliEstre/EstreGenesis (8 stars, last pushed 4d ago), licensed Apache-2.0. It adds 311 tokens to every session and 2,340 once invoked, about $0.0016 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.
Other skills, from other repositories
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This skill should be used to keep CLAUDE.md, AGENTS.md, and the skill files themselves compact, current, and internally consistent. It runs in three phases: Phase 1 performs a one-time structural refactor of CLAUDE.md using a Karpathy-inspired behavioral scaffold and derives AGENTS.md from it by stripping Claude…
watercooler-onboarding
Bootstrap Watercooler memory for a repository by inspecting local code, docs, CI, git history, and existing Watercooler threads, then writing a small set of durable, provenance-backed seed threads that future agents can query and extend. Use when entering a repo for the first time, seeding a repo with Watercooler…
ppgp
Portable Persistent Goal Protocol for long-running coding-agent work. Use when starting, resuming, handing off, distilling, or closing a substantial software goal across long sessions, context compaction, agent replacement, or other Agent Skills-compatible coding-agent environments.
search-threads
Search threads with filters. Supports filters like role:planner, type:Decision, after:2024-01, thread:topic-name, status:OPEN.
watercooler-health
Check watercooler system health — MCP server, baseline graph (T1), git auth, GitHub rate limit, and daemons. Use when syncs break or anything in the watercooler stack behaves unexpectedly.
recall
Recall project context or answer questions about history and decisions. Use before starting work, when investigating unfamiliar code, or asking "What was decided about X?" / "Why did we choose Y?".