Live survey304 models · 14 providers · 22,792 auditsAudited grill-with-docs · SAFE →What changedHow we verifyllms.txt

Agent skill · Audited from source

Research Pipeline Runner

skill · WILLOSCAR/research-units-pipeline-skillsLicence not declaredAudited 19 Oct 2026 · source 81994516a430

★ 513pushed 14 days ago
✓SAFEGrade B · 89/100 · 19 Oct 2026 · 8199451
513repo stars · whole WILLOSCAR/research-units-pipeline-skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 81994516a430 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Run a research Workflow end to end when the user requests a survey, brief, review, tutorial, or idea exploration; route an unbound goal, execute one eligible Unit at a time, and stop at checkpoints or diagnosed failures.

Ask an AI about this pageGChatGPTCClaudePPerplexityGeGeminiXGrok
More
Cite

Cite this page

ModelsAtlas. “Research Pipeline Runner (WILLOSCAR/research-units-pipeline-skills)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/willoscar/research-pipeline-runner

Trust audit

Audit 0.4.1 · source read 19 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high1 medium1 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityWARN2
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass, no license.

Findings (2)

LOWInventory / provenanceinv.no_license
F-13 Inventory / provenanceCWE-1104Layer L0
Why
no LICENSE file and no repo licence
Fix
add a licence

Audit 0.4.1 · source sha 81994516a430 · 19 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • PublisherWILLOSCAR GitHub userOwner of the repository this skill is read from
  • Source folderWILLOSCAR/research-units-pipeline-skills/.codex/skills/research-pipeline-runnerThe exact folder we audited
  • LicenceNot declaredAs the repository states it
  • Commit pinned for this verdict81994516a430A new audit runs when the source changes
  • Repository statusNot archivedLast push 14 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Run a research Workflow end to end when the user requests a survey, brief, review, tutorial, or idea exploration; route an unbound goal, execute one eligible Unit at a time, and stop at checkpoints or diagnosed failures.

---
name: research-pipeline-runner
binding: library
description: Run a research Workflow end to end when the user requests a survey, brief, review, tutorial, or idea exploration; route an unbound goal, execute one eligible Unit at a time, and stop at checkpoints or diagnosed failures.
---

# Research Pipeline Runner

The runner turns one requested outcome into an auditable Workspace. Its leading
word is **continuation**: every action must leave enough durable state for the
next command or agent to continue without reconstructing the Run from chat.

## Inputs

- The user Goal, including the target deliverable and constraints.
- An existing Workspace, or a path under `workspaces/<name>/` for a new one.
- The selected Pipeline when already recorded in `PIPELINE.lock.md`.

## Outputs

- A Workspace containing `GOAL.md`, `PIPELINE.lock.md`, `UNITS.csv`,
  `STATUS.md`, `CHECKPOINTS.md`, and `DECISIONS.md`.
- Pipeline-declared intermediate and target Artifacts.
- Run Evidence under `.harness/` and `output/`.

## Steps

### 1. Bind the Goal to one Workflow

Read the Goal and existing Workspace state. When no valid Pipeline lock exists,
use `pipeline-router`; load `docs/PIPELINE_TAXONOMY.md` only for that routing
branch. Preserve an existing valid lock.

Completion criterion: `PIPELINE.lock.md` names exactly one Pipeline and its
Unit template, and `UNITS.csv` belongs to that contract.

### 2. Reconcile before execution

Run the Workspace Doctor or the equivalent Harness inspection. Resolve
recoverable projections first. Route integrity errors to an explicit repair;
retain all earlier Attempts and Decisions.

Completion criterion: the Workspace has either one eligible next Unit or one
specific blocking condition with a recorded next action.

### 3. Execute one Unit

For the next eligible Unit:

1. read its owner, dependencies, inputs, outputs, acceptance rule, and Skill;
2. open the Attempt through the Pipeline adapter;
3. follow that Skill's `SKILL.md` and selectively load its context pointers;
4. verify every required output and acceptance condition;
5. commit Completion through the Pipeline adapter.

Completion criterion: the Unit is committed as `DONE` with matching Attempt,
Manifest, and Artifact evidence, or it is `BLOCKED` with a diagnosable Failure.

### 4. Respect the stop line

The **stop line** is the first HUMAN checkpoint, unresolved Decision, failed
quality contract, missing required Artifact, or terminal execution error.
Summarize what exists, name the evidence to inspect, and leave one concrete
resume command or question.

Completion criterion: the Run never advances beyond a stop line, and another
operator can identify the blocker from Workspace files without chat history.

### 5. Continue to the declared outcome

Repeat reconciliation and single-Unit execution while an eligible Unit exists.
After the final Unit, run Audit and Artifact Pack generation.

Completion criterion: target Artifacts exist, required Evaluations pass, Audit
contains no blocking issue, and the Artifact Pack indexes the delivery and Run
Evidence.

## Branch Pointers

- **Workflow selection:** read `docs/PIPELINE_TAXONOMY.md`, then the chosen
  `pipelines/*.pipeline.md`. The taxonomy owns the routing catalog; this Skill
  does not duplicate it.
- **Survey strict mode:** read the locked Survey Pipeline's quality contract and
  the active delivery profile before writing. Branch-specific markers and gates
  live there.
- **Offline retrieval:** use the selected retrieval Skill's documented import
  path and preserve source provenance.
- **Manual Unit execution:** use `unit-executor` while retaining the same
  Completion Protocol.

## Operator Commands

Use the outcome-first CLI for normal operation:

```bash
uv run rh goal create --topic "<topic>" --workflow <workflow> --workspace workspaces/<name>
uv run rh run start --workspace workspaces/<name>
uv run rh run resume --workspace workspaces/<name>
uv run rh run status --workspace workspaces/<name>
uv run rh evidence inspect --workspace workspaces/<name>
uv run rh improve diagnose --workspace workspaces/<name>
```

Use `scripts/pipeline.py` for maintainer debugging, explicit approvals, and
manual status transitions. The Pipeline adapter remains the only supported path
for changing Unit state.

Excerpt, first 4,294 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 8199451

Download folder ↗
uv run rh goal create --topic "<topic>" --workflow <workflow> --workspace workspaces/<name>
uv run rh run start --workspace workspaces/<name>
uv run rh run resume --workspace workspaces/<name>
uv run rh run status --workspace workspaces/<name>
uv run rh evidence inspect --workspace workspaces/<name>
uv run rh improve diagnose --workspace workspaces/<name>

Commands as the repository documents them: shown, never run by us. Our verdict covers commit 81994516a430 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 81994516a430

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/willoscar/research-pipeline-runner/badge.svg)](https://modelsatlas.com/skills/willoscar/research-pipeline-runner/)

The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.

Add this badge to your README

[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/willoscar/research-pipeline-runner/badge.svg)](https://modelsatlas.com/skills/willoscar/research-pipeline-runner/)

Questions about Research Pipeline Runner

What does the Research Pipeline Runner skill do?
Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing through structured intermediate artifacts.
Is Research Pipeline Runner safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Research Pipeline Runner access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (81994516a430), read on 2026-10-19. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

Spotted something wrong? Report a correction · Methodology

Keep going in your AI

Opens with this page as the source. We add nothing else to the prompt.