Skill

certainty-grade

Grades agent findings as HIGH/MEDIUM/LOW certainty (deterministic/heuristic/semantic) to gate actions: auto-fix HIGH, review MEDIUM, human-approve LOW.

code-quality

automation

npx claudepluginhub elasticdotventures/_b00t_ --plugin next-task

Tool Access

This skill uses the workspace's default tool permissions.

Preview

All agent findings MUST include a certainty grade. Grade determines action path.

SKILL.md

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Parent Repo Stars12

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Last CommitMar 15, 2026

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Certainty Grade Framework

All agent findings MUST include a certainty grade. Grade determines action path.

Grades

Grade

Basis

Action

HIGH

Deterministic: regex match, static check, type error, compiler output

Auto-fix permitted

MEDIUM

Heuristic: code ratio analysis, pattern frequency, structural smell

Flag for review

LOW

AI judgment: semantic meaning, intent, contextual inference

Human gate required

Steps

Identify the finding type. # output: finding_type (deterministic|heuristic|semantic)

Assign grade:

HIGH if finding_type == deterministic (provable without AI)
MEDIUM if finding_type == heuristic (pattern-based, probabilistic)
LOW if finding_type == semantic (requires AI reasoning)

output: certainty (HIGH|MEDIUM|LOW)

Attach grade to finding in output. Format: [HIGH] <finding>, [MEDIUM] <finding>, [LOW] <finding>

For batched findings, group by certainty. # output: grouped_findings

Action Gates

HIGH → auto-apply fix if safe, log result MEDIUM → surface to user, suggest fix, await confirmation LOW → block action, require explicit human approval, explain reasoning

Output Format

[HIGH] console.log() at src/foo.ts:42 — remove (debug artifact) [MEDIUM] function doThing() lacks error handling — review [LOW] variable naming may be misleading given domain context — human review

Integration

Used by: /next-task, /code-quality, all agents that produce findings. b00t MUST grade all MCP tool outputs before acting on them.

Certainty Grade Framework

All agent findings MUST include a certainty grade. Grade determines action path.

Grades

Grade	Basis	Action
`HIGH`	Deterministic: regex match, static check, type error, compiler output	Auto-fix permitted
`MEDIUM`	Heuristic: code ratio analysis, pattern frequency, structural smell	Flag for review
`LOW`	AI judgment: semantic meaning, intent, contextual inference	Human gate required

Steps

Identify the finding type. # output: finding_type (deterministic|heuristic|semantic)
Assign grade:
- HIGH if finding_type == deterministic (provable without AI)
- MEDIUM if finding_type == heuristic (pattern-based, probabilistic)
- LOW if finding_type == semantic (requires AI reasoning)
output: certainty (HIGH|MEDIUM|LOW)
Attach grade to finding in output. Format: [HIGH] <finding>, [MEDIUM] <finding>, [LOW] <finding>
For batched findings, group by certainty. # output: grouped_findings

Action Gates

HIGH  → auto-apply fix if safe, log result
MEDIUM → surface to user, suggest fix, await confirmation
LOW   → block action, require explicit human approval, explain reasoning

Output Format

[HIGH]   console.log() at src/foo.ts:42 — remove (debug artifact)
[MEDIUM] function doThing() lacks error handling — review
[LOW]    variable naming may be misleading given domain context — human review

Integration

Used by: /next-task, /code-quality, all agents that produce findings. b00t MUST grade all MCP tool outputs before acting on them.