agentleFS
LazyerIJLazyerIJ/self-clone/skills/survey/SKILL.md

survey

Skill2 starsChanged 27 days agoMITView on GitHub

Refreshes the self-clone source map — the local source list (inventory.py), the access paths to external work systems (sources/access.md), and how far the owner is involved in each external system (sources/external.md). Use for "/survey", "refresh sources", "check connections", and for @survey in the frontier.

21 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use daily-arxiv, exp-eval and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • LambenthanSkill

    daily-arxiv

    每日从 arXiv 拉取新论文,过滤相关性,auto-ingest 高优先级论文,检测 SOTA 更新

    Also in 5 projects that use this

  • LambenthanSkill

    exp-eval

    实验判决门:Review LLM 独立评判实验结果 → 4 种判决路径 → 自动更新 claims confidence、ideas status、graph edges

    Also in 5 projects that use this

  • skyllwtSkill

    exp-pilot-eval

    Pilot result evaluation — read pilot results, apply success criteria, update idea page (pilot_result, failure_reason if failed), generate PILOT_VERDICT_REPORT. Called by /ideate Phase 5 after /exp-pilot-run.

    Also in 4 projects that use this

  • skyllwtSkill

    exp-pilot-run

    Pilot experiment execution — read Pilot Spec YAML, write pilot code, run experiment(Confirm with the user before operation and require the applicant to conduct manual inspection), return results. Called by /ideate Phase 5. Does NOT modify wiki pages or judge pass/fail.

    Also in 4 projects that use this

  • phanghonghaoSkill

    poster

    HTML/CSS A4 海报生成。从沙龙/活动 Markdown 文件生成科技风 A4 海报 PDF/PNG。Use when user mentions: poster, 海报, 海报生成, make poster, generate poster, 活动海报, 沙龙海报.

    Also in 4 projects that use this

  • +6 more from Lambenthan
  • +1 more from skyllwt

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 16 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run from the clone home.

    line 8
  2. Very specific:

    Look at what this session actually has: connected MCP servers (their tool list), authenticated CLIs (gh auth status, glab auth status, aws …

    line 18
  3. Very specific:

    If a newly seen area is not in the tree, add one line to the ## Candidates of the closest existing branch (do not create branches — that is …

    line 48

“Common” is measured: kept by at least 6 in 10 of the 16 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

survey — what is where and how to reach it (a map, not content)

Run from the clone home.

1. Local

python3 -I tools/inventory.py > sources/local.md

2. Access paths — sources/access.md

For every work system, find a read tool that carries its own credentials and confirm it once with a harmless read. Never look at or write down credential values.

Look at what this session actually has: connected MCP servers (their tool list), authenticated CLIs (gh auth status, glab auth status, aws sts get-caller-identity…), and plugins. Typical rows:

systemtoolcheck call
issue tracker (Jira, Linear, GitHub Issues…)MCP or authenticated CLIwho-am-I
wiki (Confluence, Notion…)MCP or CLIwho-am-I · list spaces
chat (Slack, Teams…)MCPread own profile
code host (GitHub, GitLab…)gh / glabcurrent user
error tracker (Sentry…)MCPlist organisations — if unauthenticated: "human hand: authenticate in /mcp"
dashboards (Metabase, Grafana…)MCPlist databases/dashboards
notes (Obsidian…)MCP or the folder itselflist files
otherserver names and kinds only from .mcp.json / ~/.claude.json (never values)—

Shape of sources/access.md: system | tool | status (✓/✗/human hand) | why blocked | checked at.

  • A system whose credentials exist on this machine but has no such tool (e.g. a key only in some config file) is written only as "credential location: <path> — not connected, human hand". Never pull that key out.
  • For every working MCP server, note which of its tools write (send, create, update, delete, run query). Remind the owner to deny them in tools/settings.py.

3. Scope — sources/external.md (read only; scope, volume, period only)

systemwhat to count
issue trackerproject keys of issues the owner was assignee/reporter/commenter on, period, status mix, epic/component/label names
wikispace keys and names, pages the owner wrote — count and topics
chatchannels the owner is in with a one-line purpose, the channels they talk most in, the people they talk with most (by role)
code hostprojects the owner committed to or opened MRs in, group structure, MR count and period
error trackerorganisation and project names, issue volume
dashboardscollection/dashboard names (what is watched as a metric)

Shape: one section per system, a table (scope · volume · period · candidate tree link), and a final "not reachable" list.

4. Feed the tree

If a newly seen area is not in the tree, add one line to the ## Candidates of the closest existing branch (do not create branches — that is /grow's job).

python3 -I tools/tree.py lint && git add -A sources tree && git commit -q -m "survey: <summary>"

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.