AutoSci: Skill for Claude Code

.claude/skills/hiera-experiment/SKILL.md

hiera-experiment is a skill for Claude Code from skyllwt/AutoSci. It costs 25 tokens per session (4,120 once invoked), scanned A, original, MIT.

An optional search workflow for an existing AutoSci experiment. It tests candidate versions in a separate workspace while keeping the experiment's main wiki records and normal workflow unchanged.

In plain words
What is it for?
Use it to search immutable candidate snapshots, record evidence in a side ledger, and return a confirmed result to the normal experiment design, run, and evaluation process.
Why use it?
It keeps exploratory search results separate from the experiment's official records, reducing accidental changes to status, history, or shared knowledge. It also requires unclear method or resource decisions to be settled rather than guessed.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

This is skyllwt/AutoSci's own configuration. It tells Claude Code how to work on AutoSci itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything AutoSci configures →

About the project

AutoSci is an AI research platform organized around a wiki, with an agent that supports stages of scientific work such as reading, experimentation, writing, and retaining knowledge across projects. It is for people building or using AI-assisted research workflows, with Claude Code, Codex, and OpenCode adaptations available. The catalogue add-ons extend those agent-specific workflows.

skyllwt/AutoSci · 1,706 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to skyllwt/AutoSci. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/skyllwt/AutoSci/main/.claude/skills/hiera-experiment/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/skyllwt/AutoSci

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Your own site · 80×15
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Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,120 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00025 $0.04120
Opus 5.5 $0.00010 $0.01648
Sonnet 5.5 $0.00005 $0.00824
Haiku 4.5 $0.00003 $0.00412

Measured 1mo ago against content hash 00ae10f316d6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hiera-experiment 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.

.claude/skills/hiera-experiment/SKILL.md · 345 lines

How it starts

The opening of the file, as written. The whole thing — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/hiera-experiment

Purpose and activation boundary

Use this skill only after the user explicitly selects the optional Hiera path for an existing AutoSci experiment. Hiera is an isolated search sidecar:

  • It reads the linked wiki experiment/design and runtime contract as inputs.
  • It stores all Hiera state below runs/hiera///.
  • It searches immutable candidate snapshots and records evidence in the sidecar ledger.
  • It never creates wiki entities, changes wiki schema or experiment status, rewrites wiki/log.md, or writes search results back to the wiki.
  • It does not replace /exp-design, /exp-run, /exp-eval, or /research. A confirmatory result must return to the normal, user-gated workflow.

Before creating or changing a run, read:

  1. README.md for the user-facing sequence and command examples.
  2. references/interface.md for contract fields, source layouts, and remote receipts.
  3. The relevant runtime contract files when a field or permission is unclear.

Never infer a method, metric direction, resource boundary, seed policy, or remote environment from a vague request. Ask for the missing decision or ask the user to provide a text constraint.

State model and command ownership

Treat the lifecycle as a state machine, not as one automatic command:

init
  -> inspect/complete semantic_space and task_contract
  -> propose semantic points
  -> author drafts and candidate specs
  -> admit immutable candidates
  -> explicit human source/contract review
  -> approve frozen contract
  -> preflight
  -> run(screen)
  -> choose one iteration branch:
       propose a new semantic direction
       tune reviewed config_schema children
       loop existing candidates at deep depth
       status/recover pending remote attempts
  -> finalize sidecar report
  -> optional formal confirmation through /exp-run and /exp-eval

The CLI subcommand and the agent action are different:

Stage CLI command Agent-owned action
Initialize init Create the sidecar and show readiness errors.
Complete inputs none Edit only user-confirmed semantic or contract inputs; validate them.
Propose propose Show point IDs and metadata; do not create source.
Author none Write reviewed source/spec under this run's drafts; do not call propose again.
Admit admit Import exactly the reviewed draft into an immutable snapshot.
Approve approve Run only after explicit human approval of the execution boundary.
Preflight preflight Check a candidate without reserving evaluation budget.
Evaluate run Execute one immutable snapshot at screen or deep depth.
Tune tune Create and evaluate bounded immutable config children.
Loop loop Schedule deep bouts among existing eligible candidates only.
Observe/recover status / recover Poll or reconcile an existing remote attempt; never resubmit it.
Finalize finalize Write the exploratory sidecar report only.

Read the full file on GitHub · 345 lines

Files

What ships with it

2 files 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.

Changes

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.

  1. 1mo ago First seen · 345 lines · 25 tokens per session scan A 00ae10f316d6

Subscribe to this mod's changes

hiera-experiment is a skill published in the GitHub repository skyllwt/AutoSci (1,706 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 4,120 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 2026-09-29.

Related

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hiera-experiment next to 6 skills from other repositories
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