agentleFS
maeseokmaeseok/agent-operating-discipline/skills/standing-instructions/SKILL.md

standing-instructions

Skill0 starsChanged 4 months agoMITView on GitHub

Use when running an agent on a recurring loop or long autonomous session — reactive loops structurally drop obligations that never trigger on their own, and this installs the forced checks and backlog rule that catch them

1 other project uses a version of this.

Adopted by

Most recently taken up by

  • Other versions1 project uses a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 1

    1. kreid415/claude-science-skills★ 1same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository7 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Every step is reactive. Something has to move for you to look at it.

    line 19
  2. Distinctive:

    Every tick, in addition to reactive work, advance at least one backlog item — start it, investigate it, decide it, or kill it.

    line 60
  3. Distinctive:

    If there's nothing to advance, write "backlog: 0 advanced." Don't skip quietly.

    line 63
  4. Distinctive:

    When writing a work brief and again when opening a PR, re-ask the tick questions *about that change*:

    line 69

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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

Standing instructions do not fire

A reactive loop silently drops every obligation that has no trigger.

The mechanism

A typical autonomous loop:

wake → pull live state → diff against last tick → investigate anomalies
     → start work if a track is free → record → reschedule

Every step is reactive. Something has to move for you to look at it.

Metrics move, so metrics get watched. But "keep the shadow counters in a ledger and decide whether to enable each one" never moves. It has no trigger. It gets honored only when the reactive loop happens to wander into that topic — which is luck, not discipline.

I dropped three explicit standing instructions in a single day this way. Each one I had acknowledged. Each one I had acted on once. None had become a recurring check.

Two supporting failures:

  • The ledger was write-mostly. I appended findings constantly and only ever grepped the part I was about to work on.
  • No closing check. At the end of a batch I verified the batch's own expected signals. I never asked whether the batch honored the standing constraints.

Three devices

1. Forced questions every tick

Answer these before looking at live state — not "if relevant." Relevance is judged by the same reactive loop, so it leaks through the same hole.

Tune the list to your domain. The shape that matters:

  1. Dormant state — is anything switched on that nobody has ruled on? Anything accumulating without a decision-maker?
  2. Paired metrics — did I do anything that moves the headline number? Then did I check the quality axes that must not degrade alongside it?
  3. Backlog — did I advance anything that wasn't a reaction?
  4. Blocked on a human — is anything waiting, and is now a reasonable time to ask?
  5. Unreconciled predictions — did I declare expected signals last cycle and never go back and compare?

If you can't answer one, write "could not verify." Written down, the next tick sees it. Skipped silently, it's gone.

2. One backlog item per tick

Every tick, in addition to reactive work, advance at least one backlog item — start it, investigate it, decide it, or kill it.

If there's nothing to advance, write "backlog: 0 advanced." Don't skip quietly.

This is the only reliable way to force non-reactive work into a reactive loop.

3. Pre-ship gate

When writing a work brief and again when opening a PR, re-ask the tick questions about that change:

  • Does this turn something on or off? → is the rationale recorded?
  • Does this move the headline number? → are the counter-axes declared as falsifiers?
  • Does this change something a human should decide? → did you ask?

Constraints have expiry dates

A rule you wrote is not permanently true.

I excluded a file from a work batch because "another change is in flight there." That other change had merged hours earlier. I quoted my own constraint without re-checking it, and the exclusion blocked the most valuable available work.

When you cite a constraint, verify it still holds. Especially your own.

Honest limits

None of this guarantees completeness. What it guarantees is that omissions become visible — an unanswered question is recorded as unanswered.

An invisible omission is the only kind you can never fix.

A checklist also only asks questions someone already wrote down. It is a floor, not a method. See docs/misjudgment-patterns.md for why that distinction matters.

Related

  • orchestrator-judgment — what not to delegate during the loop
  • agent-memory — where standing instructions live across sessions

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.