Lessons — operating manual (Iron Law)

SkillFiles & storage

Use when about to edit a file or run a state-changing command, or after any failure, correction, or surprising result.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Lessons — operating manual (Iron Law) skill

What this skill tells your AI

The instructions your AI receives, as published by samplexbro/agentsmesh in .agents/skills/lessons/SKILL.md and read by ahel’s review.

The Iron Law

NO MUTATION WITHOUT RECALL. NO COMPLETION WITHOUT A CAPTURE DECISION.

Violating the letter is violating the spirit. Edited a file or ran a state-changing command without recall? Process violation. Did the turn hit a failure / correction / regression / wrong assumption / surprise and you have not captured (nor stated Lesson: none)? The task is INCOMPLETE — and the user will check. The graph ../../../.agentsmesh/lessons/lessons.json is canonical — never hand-edit.

Recall — before each edit/command, and at task start

agentsmesh lessons query --file <path> --cmd <command> --session auto, then apply every rule. Pure-read commands (read-only) and the query itself are exempt. keyword-only recall for a specific edit is the anti-pattern — anchor those to --file/--cmd. But at the START of a task (or when planning), run agentsmesh lessons query --keyword "<the task's key terms>" --always --session auto: that surfaces the conceptual rules no file/command names PLUS the universal always-on lessons — the manual equivalent of the automatic prompt recall on hook-capable tools. Always pass --session auto: it suppresses rules already shown this session so repeat recalls stay quiet (without it every recall re-delivers the whole matched set); --no-dedup re-shows everything after a context reset. Author a keyword trigger beside a file_glob on conceptual lessons so they are reachable both ways. No shell → MCP lessons_query (file/command/keyword/always; session dedup is on by default there — no_dedup:true to re-show).

Capture — Gate Function (before any completion claim)

  1. SELF-CRITIQUE: any failure, correction, regression, wrong assumption, useful surprise, repeated friction, or non-obvious fix? Failing tests/lint/typecheck and user/review corrections — yours or anyone's — all count. PROCESS/TOOLING surprises count too (a sandbox command that silently no-op'd, a port already in use, a library's argument shape) — trigger those with --trigger-cmd. So does a review finding you REVIEWED then deliberately REJECTED: capture it as a "do NOT refactor" guard so the reasoning survives the session.
  2. CAPTURE a reusable imperative rule with an effective trigger (else say so): agentsmesh lessons add "<rule>" --topic <id> --trigger-file <glob>. Trigger on the file-CLASS where it will RECUR (e.g. **/lib/use*Form*.ts), NOT the single file you discovered it in — and NOT a broad src/**. If the rule is a UNIVERSAL standard that applies to EVERY task (a comment/test/style convention no file or command names), capture it with --scope always instead — it needs no trigger and is delivered on every task.
  3. RECEIPT: emit Lesson: captured <id> or Lesson: none.

At least one effective trigger is required (or --scope always for a universal rule) or the capture is rejected (UNRECALLABLE_LESSON); prefer --trigger-file. No shell → MCP lessons_query, lessons_add, lessons_topics, lessons_show, lessons_deprecate. Run agentsmesh lessons --help for every subcommand and flag: query, add, topics, show, deprecate, merge, untrigger, strip-markers, prune, journal, validate, stats, import-md.

Rationalization Prevention — these excuses mean STOP

ExcuseReality
"Small edit / I already know this / later"Query first — skipping recall is a process violation
"Nothing reusable here"You hit a failure/surprise — name it or capture it
"My own TDD red, not a real failure"A red you did not predict IS a lesson
"I fixed one site; the twin is obvious"Capture it — the unfixed twin is what gets missed
"Different words, so the rule doesn't apply"Spirit over letter

Lesson gate — before final response

The final response MUST carry the receipt: Lesson: captured <id> or Lesson: none. No receipt = task incomplete. Do not capture one-off facts, task summaries, or project context — only reusable imperative rules with an effective trigger.

Signals

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Sep 2026
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github.com/samplexbro/agentsmesh