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hierarchical-agent-memory

Scoped CLAUDE.md memory system that reduces context token spend. Creates directory-level context files, tracks savings via dashboard, and routes agents to the right sub-context.

53

Quality

60%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/hierarchical-agent-memory/SKILL.md

The canonical home for this skill is hierarchical-agent-memory in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

61%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 reasonably concise with concrete commands and a clear file layout, but actionability and workflow clarity are held back by simulated (non-executable) examples and the absence of validation checkpoints for the batch setup step. Progressive disclosure is good given no bundle files exist.

Suggestions

Add a verification step after 'go ham' setup (e.g., 'Run ham audit to confirm all CLAUDE.md files were created and routing resolves') to lift workflow clarity above the batch-operation cap of 3.

Replace the simulated 'User:/Agent:' example dialogues with real, runnable command/output samples or reference actual scripts so the guidance is genuinely executable.

Consider moving the dashboard, audit, and carbon-estimation detail into reference files and linking them one level deep to push progressive disclosure toward 5.

DimensionReasoningScore

Conciseness

The body is efficient and assumes Claude's competence (concrete file tree, command table, token budgets); only minor padding like 'gives AI coding agents a cheat sheet... instead of re-reading your entire project every prompt' could be trimmed, fitting the efficient-with-minor-over-explanation anchor.

4 / 5

Actionability

Concrete trigger commands and a copy-pasteable file structure are present, but the examples are simulated dialogue rather than real executable output and no actual script implementation is shown, matching the 'some concrete guidance but incomplete' anchor.

3 / 5

Workflow Clarity

A clear three-step sequence (Setup, Context Routing, Dashboard) is present, but there are no validation/verification checkpoints; since setup is a batch file-creation operation, the missing-validation cap holds this at 3.

3 / 5

Progressive Disclosure

Sections are well-organized and content stays at an appropriate overview level with no broken or deeply nested references; the only gap is that complex features (dashboard, carbon) are inlined rather than split into reference files, which is a minor organization gap.

4 / 5

Total

14

/

20

Passed

Description

58%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 clearly conveys what the skill does with three concrete actions but omits any explicit 'when to use it' guidance, which caps completeness and weakens trigger-term quality. It is distinct enough to avoid most conflict risk.

Suggestions

Add an explicit 'Use when...' clause naming natural triggers (e.g., 'Use when reducing token costs across Claude Code sessions, when projects have 3+ directories, or when you want directory-scoped context') to lift completeness above 3.

Include common synonyms/variations users would actually say ('CLAUDE.md', 'token costs', 'context files', 'agent memory') to improve trigger-term coverage.

Tighten 'routes agents to the right sub-context' to a more concrete action like 'loads the matching subdirectory CLAUDE.md' to push specificity toward 5.

DimensionReasoningScore

Specificity

Lists three concrete actions ('Creates directory-level context files', 'tracks savings via dashboard', 'routes agents to the right sub-context'), matching the several-specific-actions anchor with minor gaps; 'routes agents to the right sub-context' is slightly abstract, keeping it below the comprehensive 5.

4 / 5

Completeness

The 'what' is clearly stated, but there is no 'Use when...' clause or equivalent explicit trigger guidance; per guidelines this caps completeness at 3.

3 / 5

Trigger Term Quality

Relevant terms like 'CLAUDE.md', 'token spend', and 'dashboard' appear, but common variations/synonyms and natural trigger phrases are missing, fitting the 'some relevant keywords but missing variations' anchor.

3 / 5

Distinctiveness Conflict Risk

The scoped CLAUDE.md memory niche is mostly distinct, with only minor overlap risk against closely related agent-memory skills, matching the 'mostly distinct; minor overlap' anchor.

4 / 5

Total

14

/

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.

Validation15 / 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
Reviewed

Table of Contents

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