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autonomous-session-manager

Session lifecycle management for autonomous coding. Use when starting new coding sessions, resuming work, detecting session type (init vs continue), or managing auto-continuation between sessions.

Quality

75%

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SecuritybySnyk

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tessl review fix ./.claude/skills/autonomous-session-manager/SKILL.md

The canonical home for this skill is autonomous-session-manager in fernandezbaptiste/Skrillz

SKILL.md
Quality
Evals
Security

Quality

Content

65%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 with accurate, executable Quick Start code verified against the actual scripts, and exemplary progressive disclosure that keeps the SKILL.md as an overview while delegating details to real reference files. Its weaknesses are moderate padding (the ASCII diagram and Key Features table largely duplicate each other) and a lifecycle workflow that lacks explicit validation or error-recovery checkpoints despite an error-handling API existing in the bundle.

Suggestions

Replace the ASCII box diagram with a compact numbered list and drop or merge the Key Features table, which duplicates the diagram and Quick Start content.

Add an explicit error-recovery step to the lifecycle (e.g., 'If session fails: call handle_error, check saved state, retry or halt') so the workflow has a validate/retry checkpoint rather than only 'Check completion status'.

Show how SESSION_CONFIG is actually loaded (or link to references/CONFIGURATION.md for it) and source the continuation prompt via get_next_session_prompt(project_dir) so the Quick Start snippets are fully self-contained.

DimensionReasoningScore

Conciseness

The code examples are lean and assume competence, but the 26-line ASCII box diagram (mostly border art) and the Key Features table each restate what the other and the Session Workflow already convey — e.g., 'Session Detection | Automatically determines if INIT or CONTINUE' duplicates the diagram's 'If missing → INIT / If exists → CONTINUE'. This matches 'mostly efficient but includes some unnecessary explanation or could be tightened'; it avoids anchor 2 because there is no concept-teaching verbosity and every section carries real information.

3 / 5

Actionability

The Quick Start snippets are executable and match the real bundle scripts (detect_session_type(project_dir), SessionManager.run(prompt), and auto_continue(delay_seconds=3) all exist with those signatures), meeting 'mostly executable guidance'. It is not anchor 5 because the SESSION_CONFIG dict is illustrative and never wired to a loading mechanism, and `prompt`/`project_dir` appear undefined in the snippets even though scripts.session_detector.get_next_session_prompt(project_dir) exists for exactly this.

4 / 5

Workflow Clarity

The four-phase lifecycle (DETECT → CREATE → RUN → END) is clearly sequenced in the diagram, but checkpoints are only implicit: 'Check completion status' is listed with no guidance on what to do when a session fails or state is inconsistent, and no validate/fix/retry loop appears even though SessionManager.handle_error exists. This matches 'steps listed but validation gaps; sequence present but checkpoints missing or implicit' rather than anchor 4, which requires most checkpoints to be explicit.

3 / 5

Progressive Disclosure

The body is a clean overview with dedicated References and Scripts sections pointing to real files — references/SESSION-LIFECYCLE.md, references/CONFIGURATION.md, and the three scripts all exist in the bundle — one level deep and clearly signaled, matching the anchor-5 example of a clear overview with well-signaled references.

5 / 5

Total

15

/

20

Passed

Description

76%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 clearly states both what the skill does and when to use it, with an explicit and well-enumerated 'Use when' clause in third person. Its main weakness is trigger-term coverage: it lists the core natural phrases but offers no synonyms or variations users might say, which could limit discoverability.

Suggestions

Add natural synonym phrases to the trigger clause, e.g., 'Use when continuing where a previous session left off or deciding whether to initialize or resume an autonomous coding run'.

Mention a concrete artifact trigger such as feature_list.json presence, since that is the actual detection signal and a phrase users of the ecosystem would recognize.

DimensionReasoningScore

Specificity

The description names several concrete actions — "starting new coding sessions", "resuming work", "detecting session type (init vs continue)", and "managing auto-continuation between sessions" — which matches the 'several specific actions; minor gaps in coverage' anchor. It falls short of anchor 5 because the headline "Session lifecycle management" is abstract and capabilities the body covers (state saving, graceful shutdown) are not stated; it is above anchor 3 because four concrete actions are explicitly enumerated.

4 / 5

Completeness

It explicitly answers 'what' ("Session lifecycle management for autonomous coding" with enumerated capabilities) and 'when' via a concrete "Use when starting new coding sessions, resuming work, detecting session type (init vs continue), or managing auto-continuation between sessions" clause with specific trigger phrases, matching the anchor-5 example. It is not anchor 4 because the 'when' clause is specific and enumerated rather than generic.

5 / 5

Trigger Term Quality

Phrases like "starting new coding sessions", "resuming work", and "auto-continuation" are natural terms a user might say, matching 'some relevant keywords'. It does not reach anchor 4 because common variations and synonyms are missing (e.g., 'continue where I left off', 'keep the loop running', or file-based triggers like feature_list.json), and it stays above anchor 2 because the keywords go beyond generic jargon.

3 / 5

Distinctiveness Conflict Risk

The niche is clear — autonomous coding session lifecycle with distinctive triggers like "init vs continue" detection and "auto-continuation between sessions" — giving minimal conflict risk with unrelated skills. It is not anchor 5 because the body notes sibling skills (autonomous-loop, context-state-tracker) in the same domain, creating minor overlap risk with those closely related skills.

4 / 5

Total

16

/

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

fernandezbaptiste/Skrillz

Path

.claude/skills/autonomous-session-manager/SKILL.md

Reviewed

Table of Contents

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