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accint-frames

Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue").

50

Quality

55%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./skills/accint-frames/SKILL.md
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 delivers a tight, actionable queue-draining workflow with useful safety notes, but it repeats the description verbatim across sections and lacks an explicit validation loop for a batch operation. The Example section is thin padding rather than a worked demonstration.

Suggestions

Replace the verbatim-description Example with a concrete worked example showing an actual frame_id, submit_token, and proposal_text including the PREDICT line.

Add an explicit validation/feedback step (e.g., confirm each submission's commitment id before proceeding to the next frame, and retry on error) to satisfy the batch-operation feedback-loop requirement.

Remove the duplicated description from the 'When to Use' section to tighten conciseness.

DimensionReasoningScore

Conciseness

The core numbered steps are lean, but the verbatim description is repeated in both 'When to Use' and the 'Example' section, adding padding that could be trimmed.

3 / 5

Actionability

Provides concrete commands (`acc frames`, `acc_act(runtime="continue", input={...})`) and a precise PREDICT suffix format, but the `...` placeholders keep it just short of copy-paste ready.

4 / 5

Workflow Clarity

Steps 1-5 form a clear sequence with an idempotency note and a 'drain fully before new work' checkpoint, but this batch operation lacks an explicit validate/retry feedback loop, capping the score at 3.

3 / 5

Progressive Disclosure

A simple, well-sectioned body (When to Use, Example, Limitations) with no bundle files needed, but the near-empty Example section adds little organizational value.

4 / 5

Total

14

/

20

Passed

Description

50%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 specific and highly distinctive, but it relies on dense jargon rather than natural trigger phrases and omits any explicit 'when to use' guidance. This makes it precise yet unlikely to fire on ordinary user requests.

Suggestions

Add a 'Use when ...' clause naming natural trigger phrases (e.g., 'when the user asks to clear or resume acc's pending deliberations') so it fires on ordinary requests.

Soften jargon with one or two plain-language synonyms (e.g., 'pending decisions' alongside 'brain_frames') to improve trigger term quality.

Briefly list the concrete sub-actions (list the queue, deliberate per frame, submit proposals) to move specificity toward a more comprehensive coverage.

DimensionReasoningScore

Specificity

Names the domain ('acc's deliberation queue', 'brain_frames') and a concrete action ('drain ... via acc_act(runtime="continue")'), but only one main action rather than a comprehensive list.

3 / 5

Completeness

The 'what' is clear (drain the queue via acc_act), but there is no 'when' / 'Use when...' clause or equivalent explicit trigger guidance, which caps completeness at 3 per the rubric.

3 / 5

Trigger Term Quality

Dominated by technical jargon ('deliberation queue', 'checkpointed by headless runs', 'acc_act(runtime="continue")') with few natural phrases a user would actually say; recognizable terms like 'queue' and 'drain' are buried in specialized language.

2 / 5

Distinctiveness Conflict Risk

Highly niche targeting of acc's deliberation queue and brain_frames via a specific verb makes it clearly distinguishable with minimal conflict risk against other skills.

5 / 5

Total

13

/

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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