Recursive Decision Ledger
SkillCloud & infraThe recursive-decision-ledger skill lets an AI agent run repeated rollouts while keeping an append-only decision ledger of trials, marks, coherence checks, and promotion gates. It records each bounded search rollout in a JSONL ledger plus a readable summary. Recursive confidence alone never auto-approves live trading, deploy, or destructive actions; explicit user approval is required.
Use Recursive Decision Ledger in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the Recursive Decision Ledger skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Have a task where the user asks for repeated rollouts.
What your AI can do with it
- Run repeated bounded search rollouts
- Record trial counts and candidate marks in an append-only JSONL ledger
- Log coherence checks for each rollout
- Enforce promotion gates so recursive confidence cannot auto-approve actions
- Produce a readable summary alongside the ledger
Getting started
- Have a task where the user asks for repeated rollouts.
- Add the recursive-decision-ledger skill to your agent setup.
- Configure the ledger path for the append-only JSONL file and summary.
- Run the rollouts and review the ledger and summary before any promotion.
What this skill tells your AI
The instructions your AI receives, as published by affaan-m/ecc in skills/recursive-decision-ledger/SKILL.md and read by ahel’s review.
Use this skill when the user is trying to force deeper computation through repeated rollouts or "Prime Gauss" style recursive prompting. Preserve the useful part: repeated trials, prior memory, fresh information, and explicit marks. Remove the unsafe part: pretending the loop proves certainty.
Ledger Contract
Every rollout should record:
- rollout id and timestamp;
- prior accepted winner and prior watchlist;
- fresh information ingested;
- search space size;
- model families or heuristics used;
- trial count and effective trial count;
- top candidates;
- decision marks;
- coherence marks against the prior ledger;
- promotion gate result.
Prefer JSONL for append-only ledgers and Markdown for human summaries.
Rollout Loop
- Load the prior ledger.
- Capture new information at time-step zero.
- Run the bounded search.
- Mark each candidate: accept, watch, reject, decay watch, or needs replay.
- Compare winners against prior winners and latest marked rollout.
- Downgrade candidates when drift, tail risk, stale data, or failed replay invalidates the previous mark.
- Append artifacts before summarizing.
Coherence Mark
Include a compact coherence mark:
Ensemble matches prior winner: true
Recursive matches prior winner: false
Latest rollout match: true
Live promotion allowed: false
Reason: replay and freshness gates not satisfied
Promotion Rules
For trading, capital allocation, production deploys, migrations, or destructive ops, recursive confidence is not approval.
Default to paper, dry-run, read-only, preview, or staged mode unless the user explicitly approves the live action and the repo/service gate supports it.
Promote only when:
- the candidate beats the prior accepted winner on the chosen metric;
- correctness and replay checks pass;
- risk limits are explicit;
- the evidence is durable;
- the user has approved the live step when needed.
Summary Shape
Lead with the decision, not the drama:
Rollout 15 complete. The prior winner still holds, but edge deteriorated 17%.
Status: watch, not live. Next gate: 20 replay fills with fresh orderbook age
below threshold.
Signals
- GitHub stars
- 270k
- Forks
- 40k
- Last commit
- Sep 2026
Questions
- Does recursive confidence ever auto-approve live trading, deploy, or destructive actions?
- No. The skill enforces promotion rules so recursive confidence alone never triggers live trading, deploys, or destructive operations without explicit user approval.
- What does the ledger record?
- It records trials, marks, coherence checks, and promotion gates in an append-only JSONL ledger, plus a readable summary.
- When should I use this skill?
- Use it when the user asks for repeated rollouts, so every trial and decision is logged and promotion stays gated.
- What format is the ledger?
- The ledger is an append-only JSONL file, accompanied by a readable summary.
Advanced
- Item type
- skill
- Key
recursive-decision-ledger- Source
- github.com/affaan-m/ecc
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