Agent skill · Audited from source

Long Task Continuation

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 a task is multi-step, may span context resets or sessions, uses subagents, or risks losing state before completion.

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Cite this page

ModelsAtlas. “Long Task Continuation (GanyuanRan/Aegis)”. Retrieved 18 Oct 2026. https://modelsatlas.com/skills/ganyuanran/long-task-continuation

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/long-task-continuationThe 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 a task is multi-step, may span context resets or sessions, uses subagents, or risks losing state before completion.

---
name: long-task-continuation
description: "Use when a task is multi-step, may span context resets or sessions, uses subagents, or risks losing state before completion."
---

# Long Task Continuation

## Overview

Keep long work checkpointed, resumable, drift-aware, and evidence-gated. This
protocol does not execute plans, dispatch subagents, run tests, or grant
completion authority.

## Authority Boundary

The Method Pack owns continuation discipline only. It does not own the parent
plan, host retry/watchdog behavior, authoritative `GateDecision`, evidence
sufficiency, requirement acceptance, or completion.

## When To Use

Use this skill when the work has meaningful phases, may be compacted/resumed or
handed off, uses subagents, or explicitly needs continuity and drift control.
Architecture, contract, shared-workflow, and verification-gate changes also
benefit from it. Do not force it onto a short answer or one-command check.

Choose exactly one state carrier:

- within this continuation workflow, use a durable `work/` record for
  medium/high work, or for work of any complexity that actually crosses
  sessions, needs handoff, or requires resumable state;
- otherwise keep one inline checkpoint.

Multi-step, todo-driven, possible-compaction, and subagent use do not force
durable records for low-complexity work by themselves. Do not create both carriers or a record per
slice.

## Required Artifacts

A durable task has one process trail under
`docs/aegis/work/YYYY-MM-DD-<slug>/`. It keeps logical intent/baseline state,
the latest todo/checkpoint/resume state, terminal evidence/drift state, and a
completion reflection when warranted. These are
`TaskIntentDraft`, `BaselineReadSetHint`, `BaselineUsageDraft`,
`ImpactStatementDraft`, `TodoCheckpointDraft`, `ResumeStateHint`,
`DriftCheckDraft`, and `EvidenceBundleDraft` views—not authoritative runtime
records or separate plan owners.

Read only the lifecycle-matched section of `durable-work-guidance.md`:

- `## Required Artifact Layout` and `## Create A Durable Work Record` for a new durable work record;
- `## Update A Slice` when an existing helper-backed record needs sidecar updates;
- `## Retry Convergence Detail` for retry/attempt bookkeeping;
- `## Pause, Handoff, And Completion Bundle` when preparing a pause, handoff, or completion bundle; and
- `## Expanded State Fields` only when natural checkpoint prose is ambiguous.

The reference owns artifact layout and `<aegis-workspace-helper>` command
detail; this file owns carrier selection, resume order, drift decisions, and
stop conditions.

An `Execution Readiness View` may be kept in the intent or active checkpoint
for medium/high, handoff-prone, long-running, subagent-driven, architecture,
contract, compatibility, or retirement-sensitive work. It renders existing
intent, scope, baseline, owner, test, review, and drift constraints; it is not a
new JSON artifact or completion authority.

Planless Slice Lane:

- When an existing parent plan/spec owns a bounded task, reuse it and the
  current checkpoint. For a no-parent direct bounded request with no new
  durable or unclear verification boundary, use an inline checkpoint.
- State one compact `Slice Card`: Goal, `Parent plan/spec` (or
  `none — direct bounded request`), Files, Boundary, Verification, and Stop.
- The slice goal closes only that slice. Final completion returns to the parent
  or direct bounded request through `verification-before-completion`.
- Do not create a plan/spec merely to give a micro-slice a parent, and do not
  create per-slice plans/specs or work records.
- Escalate when a new owner, contract, schema, public API, architecture,
  migration, persistence, security/permission, distribution/release surface,
  unclear verification boundary, or mismatch with parent scope or acceptance
  appears.

When durable architecture decisions are in scope, these work records are the
preferred ADR Auto Backfill source. Preserve decision signals, source refs,
alternatives, compatibility, retirement, drift, and baseline-sync questions.

## Start Protocol

Before execution:

1. Capture requested outcome, scope, non-goals, risks, parent plan/goal, success
   evidence, and stop states (`done | blocked | needs-verification |
   scope-exceeded`).
2. Identify required baseline refs and record acknowledged, cited, and missing
   refs. Missing authority pauses in `needs-baseline-readback`.
3. Choose inline or durable state once, then record the todo map, active slice,
   completed slices/evidence, blockers, next step, and current branch/HEAD.
4. When an `Execution Readiness View` exists, retain its intent lock, scope
   fence, baseline lock, compatibility/retirement boundary, tests, reviews,
   evidence, and rewind rules.
5. For a new helper-backed record, use `durable-work-guidance.md` to create and
   structurally check it before implementation.

## Retry Convergence Protocol

A failed verification is another attempt in the current slice, not a new
slice. Keep failed-attempt telemetry out of terminal evidence and normal
commits. Only `evidence-finalized`, `blocked`, or `abandoned` is terminal.
When retry state reaches `process-artifact-pressure`, stop auto-retry and route
to `systematic-debugging` or `verification-before-completion`. Load the durable
reference only when the attempt/evidence commands or sidecar rules are needed.

## Per-Slice Protocol

Before each slice, state the current goal/todo, intended edits, explicit
non-edits, verification, and readiness alignment. A bounded parent-plan or
no-parent slice uses the compact Slice Card rather than a new plan/spec.

After each slice, update completed todos, evidence refs, newly used baseline
refs, blockers, next step, and drift decision. When an active helper-backed work record exists, read `durable-work-guidance.md` and update that same record;
never create another workstream for bookkeeping.

When patch-shape/ripple triage, an H-class finding, or a bounded compatibility
mitigation fired

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
[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/ganyuanran/long-task-continuation/badge.svg)](https://modelsatlas.com/skills/ganyuanran/long-task-continuation/)

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

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
Executing Plans✓SAFE

GanyuanRan/Aegis

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.

★ 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

Add this badge to your README

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Questions about Long Task Continuation

What does the Long Task Continuation skill do?
Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.
Is Long Task Continuation 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 Long Task Continuation 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.

Sources

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