CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

ar-resume

Resume a paused experiment. Checkout the experiment branch, read results history, continue iterating. Use when the user runs /ar:ar-resume or asks to pick up a previously started autoresearch experiment.

69

Quality

87%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

82%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 an efficient, well-sequenced operational procedure with concrete commands and a useful report template, and it respects token budget with zero padding. The main gaps are a referenced script that is missing from the bundle and the absence of error-handling steps for common failure cases, which keep actionability, workflow clarity, and progressive disclosure just below top marks.

Suggestions

Ship scripts/setup_experiment.py in the bundle (or replace the Step 1 command with an inline listing method, e.g. 'ls .autoresearch/*/*/results.tsv'), since the referenced path currently does not exist and the command is not executable as written.

Add an error-handling branch to Step 2 for the common failure cases — experiment branch missing, config.cfg or results.tsv absent — so the workflow includes explicit validation checkpoints.

Specify how to derive status in Step 1 (e.g., thresholds on results.tsv age or branch state) instead of the vague 'active/paused/done based on results.tsv age'.

DimensionReasoningScore

Conciseness

The body is a lean, purely operational procedure — every section (usage, list, load context, report, ask next action) contains only instructions, commands, and a concrete output template. No concepts Claude already knows are explained, and nothing is padded, matching the 5 anchor.

5 / 5

Actionability

Mostly executable guidance: concrete commands like 'git checkout autoresearch/{domain}/{name}', 'cat .autoresearch/{domain}/{name}/results.tsv', and 'git log --oneline -20', plus a concrete report template. Not a 5 because Step 1 references '{skill_path}/scripts/setup_experiment.py', which does not exist in the bundle (no scripts/ directory), and 'Show status for each (active/paused/done based on results.tsv age)' leaves the status-derivation logic unspecified — minor gaps in an otherwise copy-paste-ready workflow.

4 / 5

Workflow Clarity

Clear four-step sequence (list if needed → load context → report state → ask next action) with decision checkpoints at steps 1 and 4 (user picks experiment, user picks next action). Not a 5 because there are no error-recovery or validation steps for failure cases (e.g., experiment branch missing, results.tsv absent or corrupt); the operations are not destructive or batch, so the destructive-operation cap does not apply.

4 / 5

Progressive Disclosure

Good structure with clear section headers, appropriately sized inline content for a single-purpose skill, and handoff references to /ar:run and /ar:loop are clearly signaled. Not a 5 because the only bundle reference, scripts/setup_experiment.py, is absent from the actual bundle — a dangling path that breaks navigation — leaving minor organization gaps per the 4 anchor.

4 / 5

Total

17

/

20

Passed

Description

87%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 concise, third person, and explicitly covers both what the skill does and when to use it with concrete trigger phrases. It is well-differentiated from other skills via the command-scoped autoresearch vocabulary. The only weakness is that trigger synonyms are good but not exhaustive and the action list stops slightly short of comprehensive.

DimensionReasoningScore

Specificity

Names the domain (autoresearch experiments) and several concrete actions — 'Checkout the experiment branch, read results history, continue iterating'. Not a 5 because coverage is not comprehensive: the body reveals additional capabilities (list experiments, report state summary, ask next action) that the description omits, and 'continue iterating' is relatively generic.

4 / 5

Completeness

Clearly answers both what ('Resume a paused experiment. Checkout the experiment branch, read results history, continue iterating.') and when ('Use when the user runs /ar:ar-resume or asks to pick up a previously started autoresearch experiment') with concrete trigger phrases in third person, matching the 5 anchor.

5 / 5

Trigger Term Quality

Good natural terms users would actually say: 'Resume a paused experiment', 'asks to pick up a previously started autoresearch experiment', plus the explicit command '/ar:ar-resume'. Not a 5 because common synonyms like 'continue the experiment' or 'where we left off' are missing, so coverage is good rather than comprehensive.

4 / 5

Distinctiveness Conflict Risk

Clear niche scoped to the autoresearch command family ('/ar:ar-resume', 'autoresearch experiment'); no overlap risk with generic skills, matching the 5 anchor for distinct triggers and minimal conflict.

5 / 5

Total

18

/

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

alirezarezvani/claude-skills

Path

engineering/autoresearch-agent/skills/ar-resume/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.