CaptureSAFE
A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw
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
80a0afd96301OBSERVED · 2026-10-07What 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.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.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (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.
80a0afd96301full audit observations/trust-audit/skill/davepoon__capture.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | 80a0afd96301 | SAFE | B | 89 | first audit |
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.