Atlas / Skills / rohitg00 / Recap

RecapSAFE

skills/rohitg00/recap

#1 Persistent memory for AI coding agents based on real-world benchmarks

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
Apache-2.0
Stars
29,174
01

Overview

#1 Persistent memory for AI coding agents based on real-world benchmarks

Read from source at commit 739684e68e2eOBSERVED · 2026-10-06
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: recap
description: Summarize the last N agent sessions for the current project, grouped by date, with highlight observations per session. Use when the user asks "recap", "what have we been doing", "today", "this week", or wants a rollup of recent work.
argument-hint: "[last N | today | this week]"
user-invocable: true
---

The user wants a recap. Time window args: $ARGUMENTS

## Quick start

```json
memory_sessions { "limit": 30 }
```

Then per surviving session: `memory_recall { "query": "<top concepts>", "limit": 3 }`.

Expected output:

```text
2026-06-07
  7f3a9c2 · "Auth refresh rework" · 14 obs · completed
    - [8] Rotate refresh tokens on every use
3 sessions across 2 days, 41 observations.
```

## Why

Only summarize sessions and observations the tools returned. An empty window is
a real answer, not a prompt to invent activity.

## Workflow

1. Parse `$ARGUMENTS`: `today` = current local date; `this week` = last 7 days;
   `last <n>` or bare numeric = most recent N; empty = `last 10`.
2. Call `memory_sessions`, filter to the current project (match `cwd` against the
   working directory), apply the window, sort by `startedAt` descending.
3. Group survivors by local calendar date (YYYY-MM-DD).
4. Per session list id (first 8), title or first prompt, observation count,
   status. Indent 2-3 highlights (importance >= 7) from `memory_recall`.
5. End with "N sessions across M days, K observations."

## Anti-patterns

WRONG: window is empty, so you summarize "a productive week of auth work" from
memory of the conversation.

RIGHT: "No sessions in the last 7 days for this project."

## Checklist

- Window parsed correctly from the argument.
- Sessions filtered to the current project's cwd.
- Highlights come from `memory_recall`, not paraphrase.
- Totals line reflects the actual counts shown.

## See also

- `handoff`, `session-history`, `recall`: same session data, different lens.

## Troubleshooting

See ../_shared/TROUBLESHOOTING.md if `memory_sessions` or `memory_recall` is not available.
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-06 · audit v0.4.1 · source sha 739684e68e2efull audit observations/trust-audit/skill/rohitg00__recap.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-06739684e68e2eSAFEB89first audit
05

Questions

What does the Recap skill do?

#1 Persistent memory for AI coding agents based on real-world benchmarks

Is Recap 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 Recap 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 (739684e68e2e), read on 2026-10-06. The repository is watched, and a new audit runs when it changes — this is the first audit.

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