Conciseness

Several padded sections: the opening paragraph repeats the description verbatim, the 'When to Use' list repeats 'User mentions or implies:' twelve times for what could be one line, the compounding-error math (0.95^10 ≈ 60%) explains something Claude already knows, and the dated '2025 lesson' is time-sensitive material outside any 'old patterns' section. This exceeds anchor 3's 'some unnecessary explanation' — there are multiple clear instances — though it never degrades into anchor 1's tutorial-style basics.

Actionability

The body offers one code example (the ContextManager scaffold, explicitly labeled as illustrative with application-supplied functions — a justified use of a scaffold) and a concrete pointer to the detailed guide, but no executable guidance for the core task of building agents. Principles like 'Build for reliability first, autonomy second' and 'Treat AI outputs as proposals, not truth' are abstract direction — matching anchor 3's 'some concrete guidance but incomplete'.

Workflow Clarity

The body contains no sequenced steps and no validation checkpoints — its only procedural direction is 'Read the detailed guide before executing this skill' plus a generic 'Stop and ask for clarification' safety line. It sits above anchor 1 because the delegation to the guide (with mandatory validation requirements) and the safety directive provide minimal direction, but below anchor 3, which requires actual listed steps.

Progressive Disclosure

Clear overview body with a well-signaled, real, one-level-deep reference: 'Read [the detailed guide](references/detailed-guide.md) before executing this skill', plus explicit guidance for focused ('load the relevant sections') vs. end-to-end reading. The 1046-line guide is well-sectioned with no nested references. Not anchor 5 because the body still inlines material that belongs in the guide (the ContextManager scaffold) and includes a filler 'Example' section, and the single large reference could be split further.

Specificity

The description uses concrete verbs ('independently decompose goals, plan actions, execute tools, and self-correct'), but these define the agent concept rather than the skill's own capabilities — what the skill actually provides (patterns, loops, code) is never stated. It is more concrete than 'Processes PDF files' (anchor 2) but lacks the comprehensive action coverage of anchor 4.

Completeness

There is no 'Use when...' clause or any equivalent trigger guidance, and the 'what' is a domain definition ('Autonomous agents are AI systems that...') rather than a statement of what the skill does — the skill's function is only inferable. This fits 'Has a vague what and no when' better than anchor 3, which requires a clear statement of capability; the missing trigger clause also caps this dimension at 3 regardless.

Trigger Term Quality

'Autonomous agents', 'decompose goals', 'self-correct', and 'human guidance' are relevant natural terms, but common variations users would say — 'agentic', 'AI agent', 'agent loop', 'ReAct', 'LangGraph', 'autogpt' — are absent (they only appear in the body, not the description). Matches 'Some relevant keywords but missing common variations or synonyms'.

Distinctiveness Conflict Risk

'Autonomous agents' names a recognizable niche, but the purely conceptual framing ('AI systems that can independently decompose goals, plan actions, execute tools') overlaps with adjacent agent-framework, orchestration, and LLM-design skills. Somewhat specific, but overlap risk remains — matches anchor 3 rather than anchor 4's 'minor overlap risk'.