import-host
- Repo stars 0
- Author updated Live
- Author repo skills-registry
- Domain
- AI
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @tomevault-io · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: import-host
description: Detect existing AI-context files on the host (CLAUDE.md, AGENTS.md, .cursorrules, .windsurfrules…
category: ai
runtime: no special runtime
---
# import-host output preview
## PART A: Task fit
- Use case: Detect existing AI-context files on the host (CLAUDE.md, AGENTS.md, .cursorrules, .windsurfrules, .continuerules, .aider.conf.yml, instructions.md) at $HOME and the current repo, and propose USER.md preferences plus PROJECT.md content. Prompts to confirm each chunk. Idempotent. Use when this capability is needed..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Steps / 1. Detect candidates / 2. Categorize each file” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Detect existing AI-context files on the host (CLAUDE.md, AGENTS.md, .cursorrules, .windsurfrules, .continuerules, .aider.conf.yml, instructions.md) at $HOME and the current repo, and propose USER.md preferences plus PROJECT.md content. Prompts to confirm each chunk. Idempotent. Use when this capability is needed.”.
- **02** When the source has headings, the agent prioritizes “Steps / 1. Detect candidates / 2. Categorize each file” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source mentions slash commands such as `/second-brain`; use them first when your agent supports command triggers.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Start with a small task and check whether the result follows “Steps / 1. Detect candidates / 2. Categorize each file”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: import-host
description: Detect existing AI-context files on the host (CLAUDE.md, AGENTS.md, .cursorrules, .windsurfrules…
category: ai
source: tomevault-io/skills-registry
---
# import-host
## When to use
- Detect existing AI-context files on the host (CLAUDE.md, AGENTS.md, .cursorrules, .windsurfrules, .continuerules, .aid…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Steps / 1. Detect candidates / 2. Categorize each file” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "import-host" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Steps / 1. Detect candidates / 2. Categorize each file
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} Import host
Bootstrap the v1.0 hot tier (USER.md + PROJECT.md) from AI-context files you've already written for Claude Code, Aider, Cursor, Continue, Windsurf, or AGENTS.md (the OpenCode/agent-rules standard). The skill is read-only against your host files and explicit-confirm against second-brain writes.
Steps
1. Detect candidates
Walk known locations and report what exists. Search at two scopes: home ($HOME) and the current repo root (the directory containing .git, walking up from cwd).
declare -a CANDIDATES=(
"$HOME/CLAUDE.md"
"$HOME/AGENTS.md"
"$HOME/.cursorrules"
"$HOME/.windsurfrules"
"$HOME/.continuerules"
"$HOME/.aider.conf.yml"
"$HOME/.claude/CLAUDE.md"
"$HOME/.claude/instructions.md"
)
GIT_ROOT=$(git rev-parse --show-toplevel 2>/dev/null)
if [ -n "$GIT_ROOT" ]; then
for f in CLAUDE.md AGENTS.md .cursorrules .windsurfrules .continuerules .aider.conf.yml instructions.md; do
[ -f "$GIT_ROOT/$f" ] && CANDIDATES+=("$GIT_ROOT/$f")
done
fi
for c in "${CANDIDATES[@]}"; do
if [ -f "$c" ]; then
LINES=$(wc -l < "$c" | tr -d ' ')
printf ' %s (%s lines)\n' "$c" "$LINES"
fi
done
Report the matched list to the user. If nothing matches, exit with: "No host AI-context files found — run /second-brain:setup to scaffold from scratch."
2. Categorize each file
For each detected file, read the first ~60 lines. Decide whether the content is primarily:
- User-level preferences — global how-to-behave rules (tone, style, "never do X", language preferences, formatting defaults). Targets
USER.md. - Project-level facts — repo-specific Goal, State, Conventions, decisions, blockers. Targets the active repo's
PROJECT.md. - Mixed — recommend splitting; propose a USER.md slice and a PROJECT.md slice.
Files at $HOME are usually user-level. Files at $GIT_ROOT are usually project-level. The first ~60-line read confirms.
Report the categorisation to the user before any writes.
3. Propose USER.md content
For files (or slices) categorized as user-level:
- Distill the content into ≤15 short bullet lines of cross-project preferences. Drop verbose prose, repo-specific facts, and anything stale.
- Show the proposed USER.md content as a single block.
- Prompt:
Append these <N> preferences to USER.md? (Y / N / edit) - On
Y: for each preference, callpin_to_user(text: "<preference>"). The MCP tool enforces a 15-line cap on USER.md and adds a dated- [YYYY-MM-DD] …entry; on overflow it returns{ok: false}and the skill must surface the rejection. - On
edit: let the user revise the block, then re-prompt. - On
N: skip.
If ~/.second-brain/USER.md does not exist yet, the first pin_to_user call will create it with the standard header.
4. Propose PROJECT.md content
For files (or slices) categorized as project-level, resolve the active project slug:
SLUG=$(basename "$(git rev-parse --show-toplevel 2>/dev/null || pwd)")
If ~/.second-brain/projects/$SLUG/PROJECT.md does not exist, instruct the user to run /second-brain:setup first — this skill fills in content but does not scaffold the file.
If it exists, propose section-by-section:
- Goal (≤3 lines): show your distilled draft and prompt
Replace existing Goal? (Y/N/edit). Apply viaEdittool — replace the body of the## Goalsection only. - Conventions (≤5 lines): same flow, target
## Conventions. - Recent decisions (≤3 entries): for each, prompt and call
pin_to_project(text: "<decision text>", slug: "$SLUG", section: "decisions")on accept. The tool prefixes- [decision]automatically. - Open blockers (≤15 lines): for each, prompt and call
pin_to_project(text: "<blocker text>", slug: "$SLUG", section: "blockers")on accept. The tool prefixes- [active]automatically.
Skip ## State and ## Cross-references — those are runtime-maintained, not import targets.
5. Skip duplicates
Before each pin_to_user or pin_to_project proposal, grep the destination file for the candidate text. If a fuzzy match exists, prompt: <text> already present (or close); skip / replace? and act accordingly.
6. Done
Report a one-block summary:
# Import summary
- USER.md: 4 preferences appended (skipped 1 duplicate)
- PROJECT.md (my-repo):
- Goal updated
- Conventions updated
- 2 [active] blockers added
- 1 [decision] decision added
- Source files left untouched.
Suggest follow-ups: /second-brain:lint (catch any orphan or dead references introduced by the import) and /second-brain:status (sanity-check hot-tier byte counts stay under cap).
Notes
- This is a bootstrap skill — it is most useful right after
/second-brain:setup. Re-running it later is safe but will mostly hit the duplicate-skip path. - The skill never deletes or modifies your host files (
~/CLAUDE.md,.cursorrules, etc.). They stay where they are. - All writes go through the v1.0 MCP tools (
pin_to_user,pin_to_project) or directEdits onPROJECT.md. There is no critic-gate, no persona/quality-rules file, noarchive_to_wikiinvocation here — those are explicit user actions handled by/second-brain:improve. - Hot-tier cap reminder: USER.md ≤ 15 lines (enforced by
pin_to_user); USER.md + PROJECT.md combined ~3200 bytes target. If a proposed import would push over, distill harder before re-trying.
Source: Cain-Ish/claude-code-plugin — distributed by TomeVault.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review