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/mako-workflow

TRIGGER when: user wants an investigation packet, pre-ship artifact, recall of prior work or answers, or to log tool-run feedback / inspect telemetry. Covers `suggest`, `investigate`, `workflow_packet`, `tenant_leak_audit`, `health_trend`, `issues_next`, `session_handoff`, all

shell
$ npx -y skills add drhalto/agentmako --skill mako-workflow --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/mako-workflow
How auto-invocation works

Context preview

The summary Claude sees to decide when to auto-load this skill.

TRIGGER when: user wants an investigation packet, pre-ship artifact, recall of prior work or answers, or to log tool-run feedback / inspect telemetry. Covers `suggest`, `investigate`, `workflow_packet`, `tenant_leak_audit`, `health_trend`, `issues_next`, `session_handoff`, all

SKILL.md

mako-workflow.SKILL.md
description: >-
  TRIGGER when: user wants an investigation packet, pre-ship artifact, recall
  of prior work or answers, or to log tool-run feedback / inspect telemetry.
  Covers `suggest`, `investigate`, `workflow_packet`, `tenant_leak_audit`,
  `health_trend`, `issues_next`, `session_handoff`, all four artifact tools,
  `recall_answers`, `recall_tool_runs`, `agent_feedback`,
  `agent_feedback_report`, `runtime_telemetry_report`, `finding_ack`,
  `finding_acks_report`.
when_to_use: >-
  Use for multi-step workflows, durable task artifacts, prior-session memory,
  feedback logging, telemetry inspection, and reviewed static-finding state.
allowed-tools: "mcp__mako-ai__*"

Mako Workflow

Use this skill when the user needs a workflow output rather than a single trace: investigation packets, pre-implementation or review artifacts, prior-session recall, feedback, telemetry, or finding acknowledgements.

Operator And Workflow Tools

`suggest`

Use to propose useful Mako queries or investigation directions.

`investigate`

Use to run a broader bounded investigation workflow around a target.

`workflow_packet`

Use to produce a bundled workflow summary from gathered context.

`tenant_leak_audit`

Use to inspect likely tenant-boundary and data-leak risks.

  • Pair with `db_rls`, `route_context`, `rpc_neighborhood`, or review artifacts

when the user is evaluating security-sensitive changes.

`health_trend`

Use to summarize health trends from recorded project signals.

`issues_next`

Use to identify likely next issues or triage targets.

`session_handoff`

Use to produce a concise handoff for later continuation.

Artifact Tools

`task_preflight_artifact`

Use before implementation to create task context, risks, likely move surfaces, and verification plan.

`implementation_handoff_artifact`

Use when handing coding work to another agent or future session.

`review_bundle_artifact`

Use for pre-ship review findings, evidence, and risks.

`verification_bundle_artifact`

Use to summarize verification steps, outcomes, trust state, and remaining gaps.

Recall Tools

`recall_answers`

Use to retrieve prior answer artifacts relevant to the current task.

`recall_tool_runs`

Use to retrieve recent Mako tool runs.

  • Use this before `agent_feedback`.
  • Copy the returned `requestId` into `agent_feedback.referencedRequestId`.
  • Default limit is 50 and max is 500; use a smaller limit first when locating a

recent run.

Feedback And Telemetry

`agent_feedback`

Use to log whether a specific prior Mako tool run was useful.

  • Use sparingly for notable full, partial, or no-usefulness cases.
  • Requires both `referencedToolName` and `referencedRequestId`.
  • Do not call after every Mako tool.
  • Use `recall_tool_runs` first; do not fabricate request IDs.

Starter reason codes:

  • `full`: `answer_complete`, `evidence_sufficient`, `trust_matches`
  • `partial`: `partial_coverage`, `noisy`, `stale_evidence`,

`missing_known_caller`, `top_not_useful`

  • `no`: `answer_wrong`, `wasted_turn`, `tool_did_nothing`, `schema_missing`

`agent_feedback_report`

Use to inspect feedback events by referenced tool, grade, time window, and aggregate counts.

`runtime_telemetry_report`

Use to inspect runtime telemetry aggregates and event lists.

  • Use for review/debugging, not automatic tool selection.

Finding Acknowledgements

`finding_ack`

Use to acknowledge a specific static finding as reviewed, accepted-risk, false-positive, or otherwise handled.

  • Use for findings from `ast_find_pattern` and `lint_files`.
  • Do not use it to rate Mako search or trace quality.
  • Defaults to preview. Re-call with `preview: false` only after the

acknowledgement is intentionally being applied.

`finding_ack_batch`

Use to acknowledge multiple reviewed findings at once.

  • Defaults to preview and returns `wouldApply` plus rejected rows.
  • Re-call with `preview: false` only when the batch suppression is intentional.

`finding_acks_report`

Use to inspect acknowledged finding history and trends.

See Also

  • Use `/mako-ai:mako-guide` for the full feedback versus finding-ack policy.
  • Use `/mako-ai:mako-trace`, `/mako-ai:mako-neighborhoods`, and

`/mako-ai:mako-graph` to gather evidence before producing artifacts.

Read more
Read it on GitHub ↗
Ships withagentmako

agentmako is a local-first codebase intelligence engine for AI coding tools. It gives agents like Codex, Claude Code, Cursor, and local harnesses a compact Reef-first tool surface for understanding a project before they edit it.

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Repo: drhalto/agentmako

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