Skip to content
Agentmart
Submit a tool

update-cumulative-evidence

Update a cumulative evidence estimate/order as new studies or evidence blocks arrive and detect when inference changes materially over time.

Skill by yogsoth-ai

IndexedApache-2.0★ 505
Write a review

Chalk Labs

Need help deploying update-cumulative-evidence?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/yogsoth-ai-update-cumulative-evidence

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Update a cumulative evidence estimate/order as new studies or evidence blocks arrive and detect when inference changes materially over time.

Use cases: ml

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 26, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/update-cumulative-evidence

What's inside

Skill name
update-cumulative-evidence
Description
Update a cumulative evidence estimate/order as new studies or evidence blocks arrive and detect when inference changes materially over time.
License
Apache-2.0
Instructions
43 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# update-cumulative-evidence

## Purpose

Update a cumulative evidence estimate or ordering as new studies or evidence blocks arrive and detect material inference change over time.

## Input contract

```yaml
required: [prior_estimate, new_evidence_block, estimand]
optional: [prior_data, heterogeneity_model, time_field, sensitivity_plan]
constraints: [new evidence must be linked to the same estimand or an explicit comparability change]
```

## Procedure

1. Validate the new block against the cumulative evidence schema and estimand.
2. Update the cumulative estimate, uncertainty, and evidence ordering.
3. Compare the update with the prior state and identify material changes.
4. Record time coverage, independent-study coverage, and unresolved dependence.

## Output contract

```yaml
produces: [updated_cumulative_estimate, change_summary, uncertainty_update, time_coverage, independence_coverage]
delta_fields: [findings, evidence_updates, hypothesis_updates, uncertainties, decisions, open_questions]
```

## Quality gates

- Prior and updated states are directly comparable.
- New evidence is not double-counted through shared data or duplicate reports.
- Sequential stopping uses relative time coverage, estimate stability, independent-study coverage, and a stated threshold rationale.

## Failure and counterexamples

Do not treat a numerical update as substantive change without uncertainty comparison or mix changing estimands into one cumulative series.

## Provenance map

- `resolved: cumulative-tracking`

From yogsoth-ai/de-anthropocentric-research-engine, Apache-2.0.

More from yogsoth-ai/de-anthropocentric-research-engine

Signals

Stars
505
Forks
43
Open issues
1
Last commit (this folder)
Sep 23, 2026 (1 month ago)
Last release
Oct 23, 2026 (13 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from yogsoth-ai

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get update-cumulative-evidence running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying update-cumulative-evidence?

CallGet help
Cite this page

update-cumulative-evidence skill. Agent Mart. https://agentmart.dev/skills/yogsoth-ai-update-cumulative-evidence (last updated 2026-10-24)