Atlas / Skills / davepoon / Capture

CaptureSAFE

skills/davepoon/capture

A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
3,604
01

Overview

A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw

Read from source at commit 80a0afd96301OBSERVED · 2026-10-07
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: capture
description: >
  Save a memory to Origin in flow. Active capture verb — use proactively
  when the user states a preference, makes a decision, corrects you, or
  shares a durable fact. Invoked as `/capture <content>`.
argument-hint: "<content>"
allowed-tools: ["mcp__plugin_origin_origin__capture", "mcp__plugin_origin_origin__recall", "mcp__plugin_origin_origin__create_entity", "mcp__plugin_origin_origin__create_relation", "mcp__plugin_origin_origin__accept_revision", "mcp__plugin_origin_origin__dismiss_revision", "Bash"]
---

# /capture

Capture a single memory in the moment. Active verb: agent captures the
moment of insight, like a photograph.

## How to invoke

Call the `origin` MCP server's `capture` tool with the user's content as a
complete, self-contained statement. Attach `topic` from cwd or the
conversation — don't make the user type it.

```
capture(content="<args, written as a full sentence with WHY>",
        memory_type="<picked from the 6 types>",
        entity="<primary entity name, if any>",
        space=<inferred>)
```

### `memory_type` — agent picks one of 6

The daemon classifies when a local model or API key is configured. In
local memory mode it does not, so the agent picks the type from the content itself. Use this
mapping:

| Type | Use for |
|---|---|
| `identity` | Durable facts about the user (role, company, language preference) |
| `preference` | "I prefer X because Y" — a habit, a correction, a stylistic choice |
| `decision` | "Going with A over B because C" — a specific choice with rationale |
| `lesson` | Root cause found, workaround discovered, technical insight earned |
| `gotcha` | Sharp edge, surprising behavior, a thing to watch out for |
| `fact` | Durable info about people, projects, tools — anchor to `entity` when possible |

If two types fit, pick the one closest to *why the memory matters*. A
decision *also* implies a preference, but `decision` is more specific.

### `entity` — extract the anchor

Pick the single most important named thing in the content: a person,
project, tool, place. Use the exact name. Example: "Alice prefers TDD
because..." → `entity="Alice"`. If the content has no named anchor,
omit `entity`.

### `topic` / `space` inference

- cwd inside a repo → repo name (e.g. `~/Repos/origin/...` → `"origin"`).
- Outside any repo → most recent topic from the conversation, or omit.
- Always pass `space` when scope is known; if uncertain, run `list_spaces`
  later (post-PR-C) or omit.

### Multiple entities or relations

The MCP `capture` tool takes a single primary `entity`. For additional
entities or relations, use the dedicated MCP tools. If the content
names more than one entity, capture the memory first, then for each
additional entity:

```
create_entity(name="<entity>", entity_type="<person|project|tool|place>")
```

For a relation between two entities:

```
create_relation(from_entity="<a>", to_entity="<b>", relation_type="<verb>")
```

Skip these calls when the daemon has an LLM — its post-ingest enrichment
covers extraction.

## What to capture

- Decisions: "Going with approach A because B"
- Preferences: "Prefers TDD because catches regressions early"
- Corrections: "Actually it's C, not D"
- Identity / project facts: "Works on Origin, a local memory daemon for AI tools"

## What NOT to capture

- System prompts, boot logs, heartbeats
- Transient task state ("currently working on...")
- Tool output, command results, architecture dumps
- Single-word acknowledgments
- Things the user can trivially re-derive (file paths, recent git history)

## Atomic ideas

One capture = one idea. "Prefers TDD" and "Uses pytest" are two captures, not
one.

## When to use

- User explicitly says "remember this", "save that", "capture this".
- User states a durable preference / decision / correction proactively (no
  ask required — that's the floor, not the trigger).

## When NOT to use

- End of session bulk store → use `/handoff` (multi-item batch).
- Pulling memories back out → use `/recall`.

## Post-capture contradiction signal

After `capture` returns, check `response.triggered_revisions` and `response.auto_superseded`.

### auto_superseded (no action needed)

If `auto_superseded` is non-empty, the daemon already resolved the contradiction. Surface it as informational:

```
Note: auto-superseded mem_X. Origin replaced a prior protected memory because
trust=high and similarity > 0.9. No action needed.
```

No accept/dismiss call required. The revision was applied automatically.

### triggered_revisions (human review needed)

If `triggered_revisions` is non-empty (and `auto_superseded` is empty), render an inline block to the user:

```
Stored mem_new.

This capture topic-matches a protected memory now flagged for revision:
  - mem_target_abc

Action: accept (replace original content) | dismiss (drop the revision) | leave (decide later)
```

Inline verb map:

- accept: `accept_revision(target_source_id="mem_target_abc")`
- dismiss: `dismiss_revision(target_source_id="mem_target_abc")`
- leave: no call; surfaces again in next `/brief`

Both fields can technically be non-empty in a single response (multiple protected matches), but in practice only one fires per capture: `auto_superseded` fires when trust=full and similarity > 0.9, `triggered_revisions` fires otherwise.

If neither field is non-empty, the capture stored cleanly with no conflicts.
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 2026-10-07 · audit v0.4.1 · source sha 80a0afd96301full audit observations/trust-audit/skill/davepoon__capture.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-0780a0afd96301SAFEB89first audit
05

Questions

What does the Capture skill do?

A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw

Is Capture 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 Capture 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 (80a0afd96301), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.

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