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self-configuration

Inspect or modify Letta Code's own memory, model, context window, system prompt, compaction, permissions, toolsets, mods, skills, channels, schedules, agent secrets, and local runtime settings. Use when the user asks how this agent or conversation is configured, asks about account usage, remaining credits, or model quota, asks you to change how you behave or how the harness runs you, or renames you.

Quality

87%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

81%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.

The body is a highly actionable, well-sequenced routing guide with excellent validation and dry-run discipline, backed by real, well-signaled reference files. Its main cost is length: repeated base-URL and guardrail warnings plus a few concept restatements inflate token usage, and several domains could move to references to slim the overview.

Suggestions

State the base-URL rule (never hard-code api.letta.com, keep LETTA_BASE_URL paired with the runtime's LETTA_API_KEY) once in a single prominent place and reference it from the REST-helper and local-settings sections instead of repeating it three times.

Trim restatements of concepts Claude already knows, e.g. "Permissions decide whether tool calls are allowed, denied, or require approval" and "Compaction controls how old messages are summarized when context is evicted", down to the product-specific deltas.

Move the account-usage/billing and channels sections into new one-level-deep reference files (e.g. references/usage-and-billing.md, references/channels.md) and keep short routing summaries in SKILL.md, reducing overview token load while preserving discoverability.

DimensionReasoningScore

Conciseness

Most content is dense and product-specific (CLI flags, backend quirks) that Claude could not know, but the base-URL/hard-coded-Cloud warning recurs in at least three sections and a few passages restate known concepts ("Permissions decide whether tool calls are allowed, denied, or require approval"), so it could be tightened more than anchor 4's "minor instances".

3 / 5

Actionability

Nearly every section gives copy-paste-ready commands with real flags — `letta model set --model-settings '{"max_tokens":16384}'`, full `npx tsx … --dry-run` invocations, a permission-rule JSON example, and `openssl rand -hex 32 | letta secret set WEBHOOK_TOKEN --stdin` — covering the common cases for each layer.

5 / 5

Workflow Clarity

The "Safe workflow" is an explicit six-step checklist (scope, inspect + rollback patch, dry run, smallest change, verify, report) with validation after every write, `--confirm-*` gates on destructive operations, and error-recovery loops for broken state (out-of-band recovery, stale-binary diagnosis), matching the anchor-5 pattern.

5 / 5

Progressive Disclosure

Three one-level-deep reference files (model-settings, compaction-prompt-patterns, api-patch-examples) are all present, clearly signaled inline ("Read … before changing reasoning") and in a References section, plus a scripts table; the gap keeping it below anchor 5 is that the ~440-line body inlines several whole domains (usage/billing, channels, CLI flags) that could be split into references.

4 / 5

Total

17

/

20

Passed

Description

88%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 that states a comprehensive, concrete capability surface and pairs it with an explicit multi-clause "Use when…" trigger list. Its only weaknesses are a few missing natural synonyms in the trigger terms and mild overlap with the memory-maintenance skills it references.

DimensionReasoningScore

Specificity

"Inspect or modify Letta Code's own memory, model, context window, system prompt, compaction, permissions, toolsets, mods, skills, channels, schedules, agent secrets, and local runtime settings" enumerates thirteen concrete capability targets with comprehensive coverage of the skill's surface, matching the anchor-5 example rather than anchor 4 (which reserves a coverage gap).

5 / 5

Completeness

It explicitly answers both "what" (inspect or modify a fully enumerated list of configuration layers) and "when" ("Use when the user asks how this agent or conversation is configured… or renames you") with concrete trigger phrases, matching the anchor-5 example exactly.

5 / 5

Trigger Term Quality

Phrases like "asks how this agent or conversation is configured", "account usage, remaining credits, or model quota", "change how you behave", and "renames you" mirror natural user requests, but common synonyms such as "preferences", "personality", or "switch/change your model" are missing, so it fits anchor 4 rather than the comprehensive synonym coverage of anchor 5.

4 / 5

Distinctiveness Conflict Risk

The self-configuration niche is clear with mostly distinct triggers (usage/credits, quota, renaming, harness settings), but "asks you to change how you behave" overlaps with the memory/persona-maintenance skills this skill routes to, placing it at anchor 4 rather than anchor 5's minimal-conflict profile.

4 / 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

Path

src/skills/builtin/self-configuration/SKILL.md

Reviewed

Table of Contents

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