Aegis is a method pack that guides coding agents to inspect a project's baseline, make bounded changes, and verify their work with fresh evidence. It is for people using coding-agent hosts who want fewer unverified changes and less unnecessary process. The catalogue add-ons implement this method through skills, instructions, commands, a hook, and a plugin.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add GanyuanRan/Aegis --skill long-task-continuationgit clone --depth 1 https://github.com/GanyuanRan/AegisWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ganyuanran/aegis/long-task-continuation)<a href="https://agentmods.dev/skills/ganyuanran/aegis/long-task-continuation"><img src="https://agentmods.dev/badge/skills/ganyuanran/aegis/long-task-continuation.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.03112 |
| Opus 5 | $0.00016 | $0.01556 |
| Sonnet 5 | $0.00006 | $0.00622 |
| Haiku 4.5 | $0.00003 | $0.00311 |
Grade A, and why
long-task-continuation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 331 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Long Task Continuation
Overview
Use this skill to keep long tasks checkpointed, resumable, drift-aware, and evidence-gated.
This is a protocol skill. It does not execute plans, dispatch subagents, run tests, or grant completion authority.
Authority Boundary
Current owner:
- Method Pack protocol discipline
Not owned here:
- plan execution
- subagent dispatch
- host daemon / watchdog / automatic retry
- authoritative
GateDecision - evidence sufficiency final judgment
- completion authority
When To Use
Use this skill when any of these are true:
- the task has multiple phases or more than one meaningful work slice
- the task may be interrupted, compacted, resumed, or handed off
- the task uses subagents
- the user explicitly asks for long-task continuity, resume safety, or avoiding drift
- the task changes architecture, contracts, shared workflows, or verification gates
For short direct answers or one-command checks, do not force this protocol.
Multi-step, todo-driven, or subagent-using tasks do not force durable records by themselves; keep an inline checkpoint unless the task also crosses sessions, needs handoff, or requires resumable state.
Required Artifacts
Maintain artifacts under docs/aegis/work/YYYY-MM-DD-<slug>/:
| Artifact | File | When |
|---|---|---|
| TaskIntentDraft | 10-intent.md and optional task-intent-draft.json |
Start protocol |
| BaselineReadSetHint | 10-intent.md (inline) |
Start protocol |
| BaselineUsageDraft | 10-intent.md (inline) and optional baseline-usage-draft.json |
Start protocol and when baseline usage changes |
| ImpactStatementDraft | 10-intent.md (inline) |
Start protocol |
| TodoCheckpointDraft | 20-checkpoint.md and optional todo-checkpoint-draft.json |
Each checkpoint |
| ResumeStateHint | 20-checkpoint.md (inline) |
Each pause/handoff |
| DriftCheckDraft | 20-checkpoint.md (inline) and optional drift-check-draft.json |
Per-slice protocol |
| EvidenceBundleDraft | 90-evidence.md and optional evidence-bundle-draft.json |
Per-slice protocol |
| Reflection | 99-reflection.md |
Completion candidate |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago Changed · +24 lines 0c78c67de20a
- 8d ago First seen · 307 lines · 32 tokens per session scan A 34018b96fee1
long-task-continuation is a skill published in the GitHub repository GanyuanRan/Aegis (1,170 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 3,112 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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