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context-management-context-save

Use when working with context management context save

53

1.31x
Quality

31%

Does it follow best practices?

Impact

91%

1.31x

Average score across 3 eval scenarios

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/context-management-context-save/SKILL.md

The canonical home for this skill is context-management-context-save in sickn33/agentic-awesome-skills

SKILL.md
Quality
Evals
Security

Quality

Content

38%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 broad, concept-heavy overview with buzzword padding, pseudocode that references undefined functions, and workflows lacking validation checkpoints. Its only progressive-disclosure pointer is a broken path and no bundle files exist, so it neither offloads detail nor provides fully executable guidance.

Suggestions

Replace the undefined helper functions with complete, executable code (real library calls or self-contained logic) or explicitly justify the pseudocode.

Trim padded/conceptual sections (Role and Purpose, Context Management Overview, Future Roadmap) that restate what Claude already knows about context management.

Add validation/verification checkpoints to the capture workflows (e.g. verify the serialized artifact round-trips, confirm sensitive data was excluded) and fix or remove the broken `resources/implementation-playbook.md` reference, ideally moving detailed material into real reference files.

DimensionReasoningScore

Conciseness

The body is noticeably verbose with several padded, buzzword-laden sections ("An elite context engineering specialist focused on comprehensive, semantic, and dynamically adaptable context preservation", "ontological representations", "inference-based context expansion", plus a non-actionable "Future Roadmap"), matching score 2 ("noticeably verbose; several unnecessary explanations or padded sections"). It is not score 1 because content is sectioned rather than a single unbroken wall of basics, and not score 3 because the padding is pervasive, not occasional.

2 / 5

Actionability

It offers some concrete guidance (a valid JSON Schema and real function signatures) but the Python examples call undefined helpers (extract_project_metadata, semantic_compression, advanced_vector_compression) and are effectively pseudocode, matching score 3 ("some concrete guidance but incomplete; pseudocode instead of executable code"). It is not score 4 because the runnable pieces are incomplete and the workflows lack executable commands.

3 / 5

Workflow Clarity

The two workflows list coherent sequences ("Analyze project structure → Extract architectural decisions → Generate semantic embeddings → Store in vector database") but include no validation or verification checkpoints, and the skill's own Limitations note computational overhead and sensitive-data exclusion risks. Per the batch/validation cap, workflow clarity is capped at 3; the steps are also vaguer than the score-3 example, so it does not reach 4.

3 / 5

Progressive Disclosure

No bundle files exist (references/, scripts/, assets/ all absent) and the body's single reference — "open `resources/implementation-playbook.md`" — points to a file that does not exist (broken, dead pointer), while ~170 lines of schemas, code, and workflows are inlined, matching score 2 ("content that clearly belongs in separate files is inlined; or references are buried"). It is not score 3 because the lone reference is broken rather than merely unclear.

2 / 5

Total

10

/

20

Passed

Description

23%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 is a near-empty, auto-generated-style trigger clause that repeats the skill name instead of stating what the skill does. It answers "when" weakly and "what" not at all, with no concrete actions and no natural trigger keywords.

Suggestions

State concrete capabilities in third person, e.g. "Captures project state, serializes context to JSON/markdown, and retrieves it across sessions".

Add natural trigger terms users would actually say (e.g. "save context", "context snapshot", "preserve session state") rather than repeating the skill name.

Include an explicit "what" plus "when" pair: what the skill does followed by a concrete "Use when..." clause.

DimensionReasoningScore

Specificity

The description "Use when working with context management context save" names no concrete action verb at all — it is purely a trigger clause with an abstract, tautological domain label, matching the score-1 anchor "Entirely vague; no concrete actions; pure abstract language" (cf. "Helps with documents"). It does not reach score 2 because even "Processes PDF files" names a minimal action, whereas this names none.

1 / 5

Completeness

It provides a "when" ("Use when working with...") but no "what" — the skill's actual capability is never stated, matching score 2 ("only 'when' is present without 'what'", cf. "Use when working with documents"). It is capped below 4 because "what" is entirely absent, and not score 1 because an explicit trigger clause is present.

2 / 5

Trigger Term Quality

The only keyword area is "context management context save" — the skill name repeated verbatim rather than a natural user phrase, with no synonyms or variations, fitting score 2 ("one or two generic keywords; missing the natural phrases users say", cf. "Works with files"). It is not score 3 because the redundant phrasing is not a natural term a user would say, and not score 1 because a relevant domain term (context management) is present.

2 / 5

Distinctiveness Conflict Risk

"context management" names a somewhat specific niche, but the tautological wording and broad domain could overlap with other context-related skills, matching score 3 ("somewhat specific but could still overlap with similar skills"). It is not score 4 because the trigger is generic and undifferentiated rather than clearly distinct.

3 / 5

Total

8

/

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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