git:20261022.8c577d3 to git:20261023.f005326

---

name: tlamatini-planner-trace-replay

description: Replay the most recent global execution planner trace from tlamatini.log and explain why each capability got the score it did.

metadata:

openclaw:

emoji: "🔁"

tlamatini:

runtime: in-process

requires_tools: ["chat_agent_executer"]

requires_mcps: ["Files-Search"]

budget:

max_iterations: 6

max_seconds: 60

max_tokens: 12000

permissions:

filesystem:

read: ["Tlamatini/tlamatini.log","Tlamatini/agent/global_execution_planner.py"]

write: []

shell:

- "python -c \"open('Tlamatini/tlamatini.log').read()[-200000:]\""

network: deny

db: deny

inputs:

- { name: turns, type: integer, required: false, default: 1,

description: "How many recent planner traces to replay (1 = most recent)" }

outputs:

- { name: traces, type: array, required: true }

- { name: notes, type: string, required: true }

triggers:

keywords: ["planner trace","planner replay","why did planner","planner score"]

---

<!--

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✦ T L A M A T I N I ✦ — "one who knows"

Created by Angela López Mendoza · @angelahack1

Developer · Architect · Creator of Tlamatini

Tlamatini Author Banner — do not remove (Angela's name is kept in every build)

═══════════════════════════════════════════════════════════════════

-->

# Planner trace replay

> **HEADLESS IS FORBIDDEN. VISIBLE FOREGROUND EXECUTION ONLY.** Every command, automated test, diagnostic, script, build, agent and browser must run in a visible foreground window on Angela's real desktop. Use forked CMD/PowerShell windows, `execute_forked_window: true`, and `headless: false`. Monitor live; if visibility cannot be confirmed, do not run. Read the [mandatory execution policy](../../../../TestsVisiblesAndVisibleExecutionFromClaude2Codex.md).

Explain why a tool was, or was not, available to the model on a given turn.

## ⚠️ THE PLANNER IS ONLY THE FIRST OF FIVE STAGES

The planner's top-N cap is **not** the answer to "why was this tool missing".

Since the 2026-06 mandate Multi-Turn no longer binds a planner subset at all —

`mcp_agent.py` rank-and-budget binds the surface afterwards, and that is where

a tool is actually lost. Report every stage SEPARATELY, and when the log does

not contain a stage, **say the stage is unavailable** rather than attributing

the outcome to the one you can see.

| # | stage | what it decides | where it shows up |

|---|---|---|---|

| 1 | **Enabled surface** | which tools exist at all for this user | `Tool` / `Agent` / `Skill` rows; a disabled row is invisible to everything downstream |

| 2 | **Checkbox filtering** | ACPX on/off (`filter_acpx_tools`) strips all 12 ACPX/Skill tools; Multi-Turn off means no tools at all | request flags |

| 3 | **Planner ranking** | capability scores, keyword hits, co-selection rules, short-follow-up boost | `build_global_execution_plan` output |

| 4 | **Rank-and-budget binding** | `_budget_select_tools` — binds the WHOLE surface when it fits the token budget; otherwise keeps a guaranteed operator CORE + the planner's picks + the highest-scored tools and **drops the low-rank tail** | the drop is logged, never silent |

| 5 | **Emergency core fallback** | if the budgeter returns nothing while tools were requested, `_emergency_core_tools` restores the operator core and a notice is surfaced in the chat | a `_starved_notice` |

⚠️ **`max_selected_tools = 20` no longer removes a tool from the bind.** It

shapes capability hints and ordering only. Citing it as the reason a tool was

missing is the specific wrong answer this skill exists to stop giving.

## Procedure

1. Read the tail of `Tlamatini/tlamatini.log`. Filter to the request you care

about — the per-line `[aN]` user/turn tag makes that exact.

2. Recover, per stage: the **enabled/requested** tool set, the ACPX checkbox

state, the planner's **recommendations with scores**, the **final bound

set**, the count and names dropped for token budget, and any **fallback**

event.

3. Compare requested vs bound. A tool present in 1 and absent in 4 was dropped

by budget, not by the planner.

4. If a stage is absent from the log, record it as `unavailable` in `stages`.

Do NOT infer it.

Return `{ stages: {...}, traces: [...], missing_tool_explanation, notes }`.

Keep traces under 32 KB total to preserve context.