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

Agent skill · Audited from source

Chain

skill · sharpdeveye/maestroMIT licenceAudited 19 Oct 2026 · source 4e163a7a8095

★ 591pushed 173 days agoversion 2.0.0
✓SAFEGrade B · 89/100 · 19 Oct 2026 · 4e163a7
591repo stars · whole sharpdeveye/maestro

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 4e163a7a8095 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Use when the workflow needs multi-step processing with sequential, parallel, or conditional tool compositions and proper data flow.

Ask an AI about this pageGChatGPTCClaudePPerplexityGeGeminiXGrok
More
Cite

Cite this page

ModelsAtlas. “Chain (sharpdeveye/maestro)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/sharpdeveye/chain

2 skills are called “Chain”. You are viewing sharpdeveye/maestro.

Trust audit

Audit 0.4.1 · source read 19 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 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, activityPASS0
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.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 4e163a7a8095 · 19 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publishersharpdeveye GitHub userOwner of the repository this skill is read from
  • Source foldersharpdeveye/maestro/source/skills/chainThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict4e163a7a8095A new audit runs when the source changes
  • Repository statusNot archivedLast push 173 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Use when the workflow needs multi-step processing with sequential, parallel, or conditional tool compositions and proper data flow.

---
name: chain
description: "Use when the workflow needs multi-step processing with sequential, parallel, or conditional tool compositions and proper data flow."
argument-hint: "[pipeline description]"
category: enhancement
version: 2.0.0
user-invocable: true
---

## MANDATORY PREPARATION

Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the **Context Gathering Protocol**. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first.
Consult the tool-orchestration reference in the agent-workflow skill for composition patterns and error handling.


---

Design tool chains that do complex work reliably. A chain is only as strong as its weakest link.

### Chain Patterns

**Sequential**: A → B → C (each step depends on the previous)
**Parallel**: [A, B, C] → Merge (independent steps run simultaneously)
**Conditional**: A → (if X then B, else C) → D (branching based on results)
**Iterative**: A → Check → (if not done) → A again (loop until convergence)

### Chain Design Process

For each chain, define:

```markdown
## Chain: [Name]

### Steps
1. [Tool A] — [what it does] — Input: [schema] — Output: [schema]
2. [Tool B] — [what it does] — Input: [output of step 1] — Output: [schema]
3. [Tool C] — [what it does] — Input: [output of step 2] — Output: [schema]

### Data Flow
Step 1 output.field_a → Step 2 input.source_data
Step 2 output.results → Step 3 input.items

### Error Handling
Step 1 failure → [retry 3x, then return error]
Step 2 failure → [return partial results from step 1]
Step 3 failure → [retry with simplified input]

### Constraints
Max total execution time: 60s
Max retries per step: 3
```

### Chain Validation

- [ ] Data schemas are compatible between connected steps
- [ ] Every step has error handling
- [ ] Total chain timeout is set
- [ ] Maximum iteration count is set for loops
- [ ] Partial results are handled (what if step 2 of 4 fails?)

### Recommended Next Step

After building the chain, run `/fortify` to add error handling at each step, then `/evaluate` to test the full pipeline.

**NEVER**:

- Build chains without defining data contracts between steps
- Create loops without maximum iteration counts
- Skip error handling at any step (the chain breaks at the weakest link)
- Assume output of step N is always valid input for step N+1
- Build long chains when a single prompt could handle the task

Excerpt, first 2,426 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 4e163a7

Download folder ↗
git clone https://github.com/sharpdeveye/maestro
git -C maestro checkout 4e163a7a8095

The author documents no install command, so this uses the repository directly. Our verdict covers commit 4e163a7a8095 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 4e163a7a8095

Similar skills

Questions about Chain

What does the Chain skill do?
Workflow fluency for AI coding agents. 1 core skill · 25 commands · 7 domain references · memory layer · audit trail — works across Cursor, Claude Code, Gemini CLI, Copilot, and 6 more.
Is Chain 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 Chain 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 (4e163a7a8095), 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.