Agent skill · Audited from source

Executing Plans

skill · GanyuanRan/AegisMIT licenceAudited 18 Oct 2026 · source 177240a262fe

★ 1,357pushed today
✓SAFEGrade B · 89/100 · 18 Oct 2026 · 177240a
1,357repo stars · whole GanyuanRan/Aegis

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 177240a262fe and found no filesystem, network or shell access and no hard-coded secrets. What it does: Use when executing a written implementation plan across sessions or with review checkpoints. Small or single-slice plans stay inline. For same-session independent tasks, use subagent-driven-development instead.

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ModelsAtlas. “Executing Plans (GanyuanRan/Aegis)”. Retrieved 18 Oct 2026. https://modelsatlas.com/skills/ganyuanran/executing-plans

7 skills are called “Executing Plans”. You are viewing GanyuanRan/Aegis.

and 2 more with this name.

Trust audit

Audit 0.4.1 · source read 18 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 13,985 of 14,816 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 177240a262fe · 18 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • PublisherGanyuanRan GitHub userOwner of the repository this skill is read from
  • Source folderGanyuanRan/Aegis/skills/executing-plansThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict177240a262feA new audit runs when the source changes
  • Repository statusNot archivedPushed today
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Use when executing a written implementation plan across sessions or with review checkpoints. Small or single-slice plans stay inline. For same-session independent tasks, use subagent-driven-development instead.

---
name: executing-plans
description: "Use when executing a written implementation plan across sessions or with review checkpoints. Small or single-slice plans stay inline. For same-session independent tasks, use subagent-driven-development instead."
---

# Executing Plans

## Overview

Load plan, review critically, execute all tasks, report when complete.

**Announce at start:** "I'm using the executing-plans skill to implement this plan."

For non-trivial execution, include `Aegis Visibility`: briefly tie the active
slice to its plan, checkpoint, drift or verification boundary. At completion,
pass plan adherence, evidence, complexity and residual risk to
`verification-before-completion` for the unified receipt.

If subagents are available and the plan has genuinely independent tasks,
prefer `subagent-driven-development`; lack of subagent support does not block
inline execution. Same-task agents share one workspace, and the coordinator
remains the only Git mutation owner.

## The Process

### Step 1: Load and Review Plan
1. Read plan file
2. If the plan or active checkpoint includes an `Execution Readiness View`,
   read it before implementation and compare the plan against its intent lock,
   scope fence, baseline lock, owner / contract constraints, compatibility
   boundary, retirement boundary, test obligations, review gates, drift /
   rewind rules, and evidence required before completion.
3. Review critically - identify any questions or concerns about the plan
4. If the view contradicts the plan, baseline, or current worktree evidence,
   return to plan review or refresh the advisory handoff before editing.
5. Run the TDD Route Guard before implementation: confirm `Mode`, `Decision`, `Strict authority`,
   strict signals, light eligibility, `Test posture`, and verification. Strict
   steps require either an explicit user/project request or a recorded auto
   decision; plan approval or risk labels alone are not authority. An
   off-mode missing record may be repaired only as `Mode: off / Decision:
   skipped` without loading TDD. Missing/unsupported auto decisions return to
   plan review. An auto-light record is unsupported when any strict signal is
   present or when its tiny/low-risk/single-owner/no-behavior-change proof is
   incomplete. Only `Decision: strict` with recorded strict authority may
   authorize steps named `Write failing test`, `Verify RED`, `GREEN`, or
   `REFACTOR`. Do not infer `strict` during execution.
6. If concerns: Raise them with your human partner before starting
7. Before the first write, capture `TaskStartSnapshot`: root, `HEAD`, branch or
   detached state, upstream divergence, staged/unstaged/untracked paths, active
   Git operations, and `git worktree list --porcelain`. Preserve task-preexisting
   state; do not stash, reset, clean, or commit it.
8. Reuse the current branch unless rules require independent history or another
   goal owns it. If justified, switch/create it in the
   current workspace when safe; a worktree still requires
   concurrent checkout or blocking dirty state.
9. If no concerns: Create TodoWrite and proceed

### Step 1.5: Long-Task Checkpoint Setup

If the plan has multiple tasks, may span sessions, or includes architecture / contract / workflow changes:

1. Announce: "I'm using the long-task-continuation skill to keep this plan checkpointed and drift-aware."
2. Load aegis:long-task-continuation.
3. Create the initial checkpoint from the plan:
   - current todo
   - active task
   - completed tasks
   - evidence refs
   - blockers
   - next step
4. Before each task, restate the current checkpoint.
5. After each task, update checkpoint, evidence refs, and drift check.

Before a verification-driven unplanned edit, read retained `PatchShape`,
`CanonicalOwner`, `UpwardDrillSignal`, outcome, and evidence refs. Route their
comparison with the candidate to `systematic-debugging` before editing; it
decides whether the directions converge. A proven independent canonical-owner
root stays on the normal plan path.

### Step 2: Execute Tasks

For interface/interaction changes, compose `ui-ux-governance` before affected
edits and verify the plan's scoped experience criteria at the relevant user seam.

For each task:
1. Mark as in_progress
2. Follow each step exactly (plan has bite-sized steps)
3. Before any new source-code path is added by a task, restate the plan's
   `Change Necessity` or create a compact one if the plan failed to carry it
   forward. Plan approval is not by itself proof that a new helper, small guard,
   new branch, fallback, adapter, or owner is necessary.

   ```text
   Change Necessity:
   - User-visible need:
   - No-change / non-code option:
   - Why code change is necessary:
   - Minimum change boundary:
   - Decision: no-change | docs/config-only | code-change | needs-clarification
   ```

   If the decision is not `code-change`, pause execution and return to plan
   review instead of editing. If the decision is `code-change`, carry the
   minimum boundary into the edit and verification scope.
4. Before any non-trivial source edit, run the plan's
   `Pre-Edit Complexity Check` or create a compact one:

   Use `using-aegis/references/complexity-governance.md` for shared artifact
   classes, pressure signals, and `over-budget` handling.

   ```text
   Complexity Budget:
   - Artifact class:
   - Target files / artifacts:
   - Current pressure:
   - Projected post-change pressure:
   - Budget result: within-budget | at-risk | over-budget
   - Planned governance:

   Pre-Edit Complexity Check:
   - Target edit file:
   - Existing pressure signal:
   - Safer edit boundary:
   - Decision: edit-in-place | extract helper | add owner file | split task | pause for plan update

   Pre-Edit Owner-Fit Decision:
   - Edit intent: wiring-only | move-out / extract-first | local-fix-without-new-responsibility | new-responsibility | emergency / compatibility patch
   - Owner fit:
   - Safer edit boundary:
   - Decision: edit-in-pla

Excerpt, first 6,000 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 177240a

Download folder ↗
git clone https://github.com/GanyuanRan/Aegis
git -C Aegis checkout 177240a262fe

The author documents no install command, so this uses the repository directly. Our verdict covers commit 177240a262fe 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 177240a262fe

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
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Brainstorming✓SAFE

GanyuanRan/Aegis

Use when defining ambiguous or high-complexity new features, product behavior, UI/component design, architecture choices, contract changes, or when grilling/pressure-testing a plan or design. Routine small requests stay…

★ 1.4kGrade B
Communicating Concisely✓SAFE

GanyuanRan/Aegis

Use when the user asks for caveman mode, fewer tokens, brief responses, compressed communication, or otherwise explicitly requests a much shorter answer.

★ 1.4kGrade B
Dispatching Parallel Agents✓SAFE

GanyuanRan/Aegis

Use when facing 2+ independent tasks without a written plan, with no conflicting shared mutable state or sequential dependencies, where parallel delegation beats inline cost; otherwise inline. Planned tasks use…

★ 1.4kGrade B
Establishing Project Context✓SAFE

GanyuanRan/Aegis

Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.

★ 1.4kGrade B
Finishing A Development Branch✓SAFE

GanyuanRan/Aegis

Use when verified work needs integration or cleanup of an existing task-created branch/worktree, or the user explicitly requests merge, PR, or branch lifecycle handling.

★ 1.4kGrade B
First Principles Review✓SAFE

GanyuanRan/Aegis

Use when asked for first-principles or Occam's-razor review, or when high-risk decisions involve competing constraints, fallback growth, duplicate owners, or architecture direction risk. Ordinary bug fixes stay on the…

★ 1.4kGrade B

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Questions about Executing Plans

What does the Executing Plans skill do?
Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.
Is Executing Plans 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 Executing Plans 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 (177240a262fe), read on 2026-10-18. The repository is watched, and a new audit runs when it changes — this is the first audit.

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