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Evidence Grading · yogsoth-ai | DecimalAI

researchby yogsoth-ai

Evidence Grading

yogsoth-ai/evidence-grading

Source yogsoth-ai/de-anthropocentric-research-engine ↗License Apache-2.0

Assess evidence quality using GRADE/SOE framework. Rates certainty level and identifies downgrade reasons.

NewMaintained

Automatic

Research pack

Last verified 8/24/2026

What it changes

Passed 2 of 19 test cases with the skill, and 3 of 19 without it.

Without skill14%

With skill9%

0 fixed2 passed either way19 still failing1 broke

Pass-rate lift: -5 pp
Tokens: +14%
Agent turns: 0%
Response time: +19%

Model gemini-3.6-flashMeasured 8/24/2026v12 of 22 cases passed with skill · 19 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/yogsoth-ai-evidence-grading/SKILL.md https://app.decimal.ai/s/yogsoth-ai-evidence-grading/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add yogsoth-ai-evidence-grading, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/yogsoth-ai-evidence-grading/ and pins it in .decimal/skills.lock

decimalai skills add yogsoth-ai-evidence-grading

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/yogsoth-ai-evidence-grading/SKILL.md https://app.decimal.ai/s/yogsoth-ai-evidence-grading/SKILL.md

Raw file: /s/yogsoth-ai-evidence-grading/SKILL.md ↗ · machine-readable summary at /s/yogsoth-ai-evidence-grading.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

What's inside

The instructions your model reads when the skill loads.

SKILL.md23 linessingle file

Evidence Grading

Assess the quality and certainty of evidence supporting or surrounding a gap.

Execution

Subagent — spawned via subagent-spawning/spawn-agent.

Budget

One unit = one evidence grading assessment.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
spawn-agent	Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent.

Track record

Benchmark

2 / 19

test cases passed, vs 3 / 19 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

yogsoth-ai / de-anthropocentric-research-engine

skills/evidence-grading/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

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What's inside

Evidence Grading

Execution

Budget

Available SOPs

Track record

Benchmark

Adoption

SkillSafety

Source

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