Skills remembering-conversations
๐Ÿ“ฆ

remembering-conversations

Content revision r1 Medium Risk ๐Ÿ“ Filesystem accessโš™๏ธ External commands

Recall Past Conversations

Past decisions and fixes can be hard to find during active work. This skill searches conversation history so Claude, Codex, or Claude Code can reuse prior context.

Supports: Claude Codex Code(CC)
๐Ÿ“Š 69 Adequate

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
Review the Skillstore skill "remembering-conversations" from https://skillstore.io/skills/obra-remembering-conversations.md and its manifest at https://skillstore.io/api/skills/obra-remembering-conversations/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Test it

Using "remembering-conversations". How should we handle auth redirects? We discussed this before.

Expected outcome:

The skill searches memory for the prior auth redirect discussion, then returns the earlier decision, tradeoffs, and source conversations.

Using "remembering-conversations". I am stuck on the release workflow. Check whether we solved this before.

Expected outcome:

The skill looks for matching release workflow conversations and summarizes previous blockers, successful steps, and remaining cautions.

Using "remembering-conversations". Before changing the caching layer, find our past reasoning about it.

Expected outcome:

The skill retrieves relevant caching discussions and separates confirmed historical decisions from items that need current verification.

Security Audit

Medium Risk
v4 โ€ข 7/5/2026 Open versioned report

The shell execution and system reconnaissance alerts are false positives from Markdown formatting and normal workflow prose. The documented read API can access archived conversation JSONL files under a hidden configuration directory, so the filesystem and privacy risk is real. No prompt injection attempt was found in the reviewed files.

2
Files scanned
204
Lines analyzed
2
Review items
0
False positives ignored

Confirmed security concerns (1)

Medium
Conversation History Exposure
The skill instructs agents to search past conversations and read top results, then synthesize findings with sources. This can reveal sensitive information from archived chats if searches are too broad or unapproved.
The workflow explicitly uses a search agent to read past conversation results, and the MCP reference defines a read tool for full conversation content. This is intended functionality, so the risk is privacy exposure rather than covert exfiltration.
Capability review items (2)

These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.

Medium
Hidden file access
path: "/Users/name/.config/superpowers/conversation-archive/project/uuid.jsonl"
The documented read API example uses an absolute path inside a hidden conversation archive under .config. This is intended functionality, but it can expose private archived conversation content.
Medium
Hidden file access
path: "/Users/name/.config/superpowers/conversation-archive/project/uuid.jsonl",
The range-read example again accepts an absolute path to a hidden conversation archive file. Limiting line ranges reduces volume, but the access can still reveal private historical chat data.
Audited by: codex View Audit History โ†’
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Open versioned report
Security Assessment

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Academic citations (APA ยท BibTeX ยท CFF)

APA citation

obra. (2026). remembering-conversations security audit report (audit version 4) [Author version unspecified]. Skillstore. https://skillstore.io/skills/obra-remembering-conversations/audits/4

BibTeX citation

@techreport{obra-obra-remembering-conversations-2026, author = {obra}, title = {remembering-conversations security audit report (audit version 4)}, institution = {Skillstore}, year = {2026}, number = {4}, url = {https://skillstore.io/skills/obra-remembering-conversations/audits/4}, note = {Author version unspecified} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "remembering-conversations security audit report (audit version 4)" version: "unspecified" type: report authors: - name: "obra" date-released: "2026-07-05" url: "https://skillstore.io/skills/obra-remembering-conversations/audits/4" identifiers: - type: other value: "skillstore:obra-remembering-conversations:audit:4" description: "Skillstore immutable audit report identifier"

Compare variants

2 installable variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Highest Skillstore Score
obra Recommended

remembering-conversations

Skillstore Score 70
Evidence Confidence High
Skillstore usage 16
Updated

2026-08-21

obra Current

obra-remembering-conversations

Skillstore Score 69
Evidence Confidence High
Skillstore usage 13
Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: High
55
Architecture
85
Maintainability
87
Content
69
Community
83
Spec Compliance

What You Can Build

Recover Architecture Decisions

Find earlier reasoning about a project choice before changing related code.

Resume Prior Work

Locate previous implementation notes, blockers, and next steps for an interrupted task.

Avoid Repeated Debugging

Search for similar past failures and reuse confirmed fixes when the current issue matches.

Try These Prompts

Find a Past Decision
Search past conversations for why we chose [approach] in [project]. Summarize the decision, tradeoffs, and sources.
Reuse a Debugging Fix
Search memory for prior work on [error or symptom]. Focus on confirmed fixes, failed attempts, and relevant source references.
Compare Prior Patterns
Search past conversations for [pattern A] and [pattern B]. Compare where each worked, where each failed, and what applies now.
Plan With Historical Context
After inspecting the current code, search memory for related architecture discussions. Produce a plan that separates historical facts from current assumptions.

Best Practices

  • Search after you understand the current task and likely topic.
  • Use focused queries with project names, feature names, symptoms, or decisions.
  • Verify historical conclusions against the current code before acting.

Avoid

  • Searching memory before understanding what the user needs.
  • Loading entire conversations when snippets and limited ranges are enough.
  • Treating memory results as current truth without checking the repository.

Frequently Asked Questions

What does this skill search?
It searches archived Claude Code conversations through the episodic-memory MCP tools.
Does it search the current repository?
No. Use normal code inspection tools for the current repository before relying on memory.
Can it read full conversations?
Yes. The referenced MCP tool can read conversation files, including selected line ranges.
When should I use it?
Use it after understanding the task, when prior decisions or repeated problems may matter.
What privacy risk exists?
Search results and full reads can expose sensitive content from previous conversations.
How should results be used?
Use results as historical context, then verify them against current files and requirements.

Developer Details

Author

obra

License

MIT

Skillstore revision

r1

Version notice

The author did not declare a version.

Ref

62e2a730c5cd74eab4c7164309d810de660fcea3

Maintenance freshness

7/18/2026

Usage

11 downloads ยท 109 views

File structure

๐Ÿ“„ MCP-TOOLS.md

๐Ÿ“„ SKILL.md

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