Name: agent-memory
Rating: 64 (1 reviews)
Author: alirezarezvani

agent-memory

Use when a project's CLAUDE.md has grown past what anyone reads and you want the agent to learn durable facts from its own sessions instead — or when asking why the agent keeps re-learning the same correction, why a remembered rule is wrong, or where a memory line came from. Implements a four-tier store (L0 transcripts / L1 candidates / L2 project context / L3 stable persona) where promotion is earned by recurrence across sessions and days, never by one confident statement, and nothing reaches a committed file without a human adopting it.

Quality

78%

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tessl review fix ./.gemini/skills/agent-memory/SKILL.md

The canonical home for this skill is agent-memory in alirezarezvani/claude-skills

Quality

Content

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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-organized, dense, and unusually strong on workflow clarity with thorough validation for a destructive-adjacent operation. Its weakness is bundle completeness: every external reference (two scripts and DESIGN.md) points to files that are not shipped, which both breaks progressive-disclosure navigation and leaves the otherwise-concrete commands non-executable.

Suggestions

Bundle the invoked scripts: create scripts/memory_inspect.py and scripts/memory_promote.py (or add a note that they are generated at install time) so the copy-paste commands in 'Use it' actually run.

Ship the referenced ../../DESIGN.md (rationale, open decisions, field schema) or relocate that detail into a bundled reference file so the one-level-deep link resolves instead of dangling.

After restoring the files, re-verify each code block and the DESIGN.md link resolves from the skill directory, which would lift both actionability and progressive_disclosure.

Dimension	Reasoning	Score
Conciseness	The body is efficient — a compact tier table, numeric gate thresholds ("≥ 3 distinct sessions spanning ≥ 2 distinct calendar days"), and lean code blocks assume Claude's competence — with only minor discursive framing in "The problem" and "Forcing questions" that could be trimmed, fitting anchor 4 rather than 'every token earns its place' at 5.	4 / 5
Actionability	Concrete, parameterized commands with example arguments are given ("python3 scripts/memory_inspect.py --why \"PR base branch is dev\"", "--contested", "python3 scripts/memory_promote.py"), but they invoke scripts that are not present in the bundle, so they are not fully runnable as-shipped — a minor executability gap that caps at anchor 4 rather than 'fully executable' at 5.	4 / 5
Workflow Clarity	The L0→L1→L2→L3 promotion sequence is clearly gated, with explicit validation ("Redact before writing", staged-only proposals, adopt-with-backup, dry-run "writes nothing", freeze-on-open-contradiction, fail-open hooks) and feedback loops ("--contested" → human resolves → promote); the five "Hard rules" act as a checklist, and because destructive-op validation is present the batch/destructive cap at 3 does not apply — anchor 5.	5 / 5
Progressive Disclosure	In-body structure is good (clear sections) and the delegation to [../../DESIGN.md](../../DESIGN.md) is cleanly signaled one level deep, but the actual bundle is empty — none of scripts/memory_inspect.py, scripts/memory_promote.py, or ../../DESIGN.md exist — so the progressive-disclosure navigation is broken and a reader cannot reach the delegated detail, pulling it below anchor 4.	3 / 5
	Total	16 / 20 Passed

Description

78%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 explicitly pairs a concrete 'what' (four-tier recurrence-gated store) with multiple natural 'when' triggers. Its main weakness is a second-person voice slip that costs it a specificity point; distinctiveness is good but not absolute given acknowledged sibling skills.

Dimension	Reasoning	Score
Specificity	Lists several concrete mechanisms ("four-tier store (L0 transcripts / L1 candidates / L2 project context / L3 stable persona)", "promotion is earned by recurrence across sessions and days", "nothing reaches a committed file without a human adopting it"), which is anchor-4 coverage, but the second-person phrasing "you want the agent to learn durable facts" triggers the mandated −1 voice penalty, dropping it to 3.	3 / 5
Completeness	An explicit "Use when…" clause plus three concrete "or when asking why…" triggers answers 'when', and "Implements a four-tier store … promotion is earned by recurrence … nothing reaches a committed file without a human adopting it" answers 'what' concretely — both present with concrete trigger phrases, matching anchor 5.	5 / 5
Trigger Term Quality	Natural trigger phrases a user would actually say are present ("CLAUDE.md has grown past what anyone reads", "why the agent keeps re-learning the same correction", "why a remembered rule is wrong", "where a memory line came from"), giving good keyword coverage with only a few obvious synonyms absent — anchor 4, not 5 because coverage is not comprehensive with synonyms/extensions.	4 / 5
Distinctiveness Conflict Risk	The four-tier recurrence-gated niche is distinct and the triggers are specific to memory auditing, but the skill's own frontmatter names sibling skills (memory-engineering, llm-wiki, skillopt-sleep), indicating minor overlap risk with closely related memory skills — anchor 4 rather than a clean niche at 5.	4 / 5
	Total	16 / 20 Passed

Validation

81%

Warnings & errors only

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

Validation — 13 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning
relative_links	Relative link issues: 1 suspicious	Warning
referenced_paths_exist	Referenced path issues: 4 missing	Warning

	Total	13 / 16 Passed

Repository: alirezarezvani/claude-skills
Path: .gemini/skills/agent-memory/SKILL.md
Commit: 19392f7

Reviewed: ~1 hour ago

Table of Contents

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