context-recovery — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited context-recovery (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
L2 synthesis with broader scope than tunnel-state. Fetches summary_count + 10 latest summaries, presents the top N verbatim with importance icons (💎 breakthrough / ⭐ significant / · routine), then aggregates decisions, insights, and quotes across them. Every quoted item carries a citation.
Use when the user has been away from a domain long enough that tunnel-state alone is insufficient — they need to re-read their own recent thinking.
domain: str
summary_count: int = 5Markdown with:
## 🔄 Context Recovery: {domain}
**Stage**: ... · **Tone**: ... · **Conversations**: N
### 📋 Recent Summaries
{icon} **{title}** [{source} · {msg_count} msgs · date]
> {summary truncated to 300ch}
### Open questions (accumulated across all summaries)
- {q} [conv_id · date]
### Key decisions
- {d} [conv_id · date]
### Key insights
- {i} [conv_id · date]
### One quotable
> "{quote}" [conv_id · date]⚠️ last activity N days agoNo summaries → semantic search (embedding of domain, min_sim=0.3) + keyword expansion. Output tags each match with role icon (👤 user / 🤖 assistant). Footer declares L0-only operation.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.