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recallmax

FREE — God-tier long-context memory for AI agents. Injects 500K-1M clean tokens, auto-summarizes with tone/intent preservation, compresses 14-turn history into 800 tokens.

Quality

62%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./skills/recallmax/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

53%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 well-structured and token-efficient but functions as marketing documentation rather than operational instructions: beyond the install command, it never tells the agent how to actually invoke injection, summarization, compression, or verification. The 'How It Works' steps describe internal features, not an executable workflow with validation checkpoints.

Suggestions

Add concrete usage guidance: the actual commands, API calls, or file formats for invoking context injection, summarization, compression, and fact verification — currently only the install command is executable.

Reframe 'How It Works' as an executable sequence with explicit checkpoints (e.g. 'run X, verify output, then Y') instead of describing internal mechanisms.

Remove promotional sections ('Free forever', 'Related Skills' marketplace plugs, 'Links') or collapse them into frontmatter metadata to save context tokens.

DimensionReasoningScore

Conciseness

The body uses lean bullet sections without explaining concepts Claude already knows, but marketing padding ('dramatically', 'Free forever. Built by the Genesis Agent Marketplace.', 'God-Tier') and the promotional 'Related Skills'/'Links' sections could be trimmed, matching the 'efficient with minor over-explanation' anchor.

4 / 5

Actionability

The only executable guidance is the install command 'npx skills add christopherlhammer11-ai/recallmax'; the four 'How It Works' steps describe what the tool does internally with no usage commands, API, or invocation examples, matching the 'high-level hints but missing the specific steps to execute' anchor rather than anchor 3, which requires at least some concrete guidance toward execution.

2 / 5

Workflow Clarity

Steps 1-4 (injection, summarization, compression, verification) are listed in a coherent order, but they describe the tool's internal mechanisms rather than an agent-executable sequence, and no validation checkpoints or error-recovery loops appear anywhere, matching the 'steps listed but checkpoints missing' anchor.

3 / 5

Progressive Disclosure

The body is well-organized with clear section headers (Overview, Install, When to Use, How It Works, Best Practices) and no bundle files exist to reference, but the 'Related Skills' and 'Links' sections are promotional rather than navigational content, keeping it at the 'good structure with minor organization gaps' anchor rather than 5.

4 / 5

Total

13

/

20

Passed

Description

55%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.

The description communicates quantified capabilities in third person with concrete numbers, but it reads as marketing copy ('FREE', 'God-tier') rather than a skill description. It lacks any 'Use when...' trigger guidance and natural trigger phrases, limiting both completeness and distinctiveness.

Suggestions

Remove marketing fluff ('FREE', 'God-tier') and replace with precise capability language, e.g. 'Injects 500K-1M tokens of external context, auto-summarizes conversations preserving tone and intent, compresses multi-turn history into ~800 tokens.'

Add an explicit trigger clause: 'Use when the agent loses context in long conversations, when injecting large RAG/external documents, or when compressing conversation history.'

Include natural user-facing trigger terms such as 'conversation history', 'context window', 'agent forgets', and 'RAG' to improve matching and distinctiveness.

DimensionReasoningScore

Specificity

The description lists three quantified concrete actions ('Injects 500K-1M clean tokens', 'auto-summarizes with tone/intent preservation', 'compresses 14-turn history into 800 tokens') in third person, matching the 'several specific actions with minor gaps' anchor; however, marketing fluff ('FREE', 'God-tier', 'clean tokens') keeps it below the comprehensive anchor 5.

4 / 5

Completeness

The 'what' is clear (injection, summarization, compression), but there is no 'Use when...' clause or equivalent trigger guidance, which per the judging guidelines caps completeness at 3.

3 / 5

Trigger Term Quality

'memory', 'long-context', 'summarizes', and 'compress' are relevant keywords, but common natural phrases users would say (e.g. 'conversation history', 'context window', 'agent forgets', 'RAG') are missing, matching the 'some relevant keywords but missing common variations or synonyms' anchor.

3 / 5

Distinctiveness Conflict Risk

'Long-context memory for AI agents' names a niche but the description would still overlap with generic memory, summarization, and context-management skills since it offers no distinct trigger phrases to disambiguate.

3 / 5

Total

13

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository

administrakt0r/AI-Agents-Safe-Coding-Skills

Path

skills/recallmax/SKILL.md

Reviewed

Table of Contents

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