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messaging-agents

Send a message to another Letta agent, continue a thread with one, check on it, or reply to a message another agent sent you. Use when you need to ask, inform, or coordinate with another agent, or when a message from another agent arrives.

70

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

82%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-organized, highly actionable reference: concrete CLI and tool-call recipes for every scenario, domain semantics Claude could not infer, and useful gotchas including a resend-safety checkpoint. Its weaknesses are moderate repetition between the conceptual sections and the Gotchas, and a ~220-line single-file body where some material could be pushed into reference files.

Suggestions

Deduplicate the sender-identification/--from-agent rules and the computer/teleport caveats, which each appear in two sections; consolidate them into one place (e.g. Gotchas) to tighten conciseness.

Move the backend-delivery internals ("How a send reaches the recipient") and the "Choosing a computer" section into a reference file, keeping the core recipes in SKILL.md for progressive disclosure.

Turn the receipt/status verification into an explicit numbered check loop (compare super_run_id → read messages → decide whether to resend) so the workflow's validation checkpoints are explicit rather than implied.

DimensionReasoningScore

Conciseness

The body is dense with Letta-specific semantics Claude cannot know (backend split, delivery-flag selection, agent-vs-conversation addressing) and wastes little on general knowledge, matching the 'efficient; minor instances of over-explanation' anchor. It is not a 5 because there is noticeable repetition — the --from-agent/sender-identification rules appear in both "How a send reaches the recipient" and the Gotchas, and computer/teleport caveats appear in two sections — that could be trimmed.

4 / 5

Actionability

Every scenario ships copy-paste-ready commands or tool calls with concrete flags and placeholders: `letta -p --conversation <conversation-id> --no-wait --output-format json "message"`, `SendAgentMessage({ conversation_id: "conv-…", message: "…" })`, `letta messages list --conversation <conversation-id> --limit 10`, `letta computers list --online-only`. These cover all the common cases (send-and-forget, wait, reply, check progress, find agent, target a computer), matching the fully-executable 5 anchor.

5 / 5

Workflow Clarity

Each task is a clearly sequenced recipe with explicit decision branches — e.g. the reply section's three reminder cases ("answer in your response" / "use its return address with SendAgentMessage…" / "Answer as you normally would") and the gotcha "If a send's outcome is unknown… read the thread before resending", which is a validation checkpoint. Not 5 because some checkpoints remain implicit (e.g. verifying a receipt's super_run_id against messages status is explained but not woven into a step-by-step check loop), and there is no explicit validate-then-proceed ordering across the send/check flow.

4 / 5

Progressive Disclosure

No bundle files exist (no references/, scripts/, or assets/), and the body is well-sectioned with clearly signaled one-level pointers to related skills ("Load the `finding-agents` skill", "see the `working-across-computers` skill") and `--help` for full flag references. This matches the 'good structure; minor organization gaps' anchor rather than 5, because at ~220 lines some conceptual material (backend internals in "How a send reaches the recipient", the computers section) could live in a reference file to slim the always-loaded body.

4 / 5

Total

17

/

20

Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description with concrete actions, explicit trigger guidance, and a distinct Letta-agent niche. Its only deductions are the second-person "you need to" phrasing (voice violation costing specificity) and a few missing natural synonyms such as "notify" or "respond".

Suggestions

Rewrite the trigger clause in third person to avoid the voice penalty, e.g. "Use when the task requires asking, informing, or coordinating with another agent, or when a message from another agent arrives."

Add a few common synonyms to broaden triggering, e.g. "notify", "respond to", or "ping another agent".

DimensionReasoningScore

Specificity

The description lists four concrete actions — "Send a message to another Letta agent", "continue a thread with one", "check on it", "reply to a message another agent sent you" — which approaches the comprehensive anchor. However, the second-person clause "Use when you need to ask..." violates the third-person voice guideline, reducing specificity by 1 per the rubric; it also omits auxiliary actions like finding agents.

4 / 5

Completeness

It explicitly answers both questions: the 'what' is the four concrete actions in the first sentence, and the 'when' is explicit with concrete triggers — "Use when you need to ask, inform, or coordinate with another agent, or when a message from another agent arrives." This matches the 5 anchor exactly.

5 / 5

Trigger Term Quality

Natural phrases are well covered: "send a message", "reply", "check on it", "ask, inform, or coordinate", "when a message from another agent arrives" — phrasing users would plausibly say. A few natural synonyms ("notify", "ping", "update an agent", "respond") are missing, so it sits at the good-but-not-comprehensive anchor rather than 5.

4 / 5

Distinctiveness Conflict Risk

"another Letta agent" carves out a clear niche that is unlikely to trigger for unrelated messaging or communication skills. Not 4 because the domain qualifier plus agent-to-agent framing leaves only minimal conflict risk with closely related Letta skills (e.g., finding-agents), which is the defining trait of the 5 anchor.

5 / 5

Total

18

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
letta-ai/letta-code
Reviewed

Table of Contents

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