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Reversal Generation · yogsoth-ai | DecimalAI

yogsoth-ai/reversal-generation

NewSkillScoreMaintained

Systematically reverse positive statements to generate creative inversions. Produces reversed statements with initial associations.

researchby yogsoth-ai

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Writing & Editing pack

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

pip install decimalai

2 · Get the skill — writes .claude/skills/yogsoth-ai-reversal-generation/SKILL.md

decimalai skills pull yogsoth-ai-reversal-generation --out .claude/skills/

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

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

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

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 18d ago

—+70% tokens0% turns14% of whole cases pass with skill (3/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-04	✓→✓	＝ Same ✓	106%	0%
case-06	✓→✓	＝ Same ✓	25%	0%
case-07	✓→✓	＝ Same ✓	162%	0%
case-01	✗→✗	＝ Same ✗	123%	0%
case-02	✗→✗	＝ Same ✗	84%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/10/2026

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/reversal-generation/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/10/2026Version v1

Skill contents

SKILL.md

Reversal Generation

Systematically reverse positive statements.

Execution

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

Why Subagent

Reversal generation requires creative linguistic and conceptual inversion across multiple dimensions. Benefits from dedicated attention to produce both obvious negations and surprising creative reversals.

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. |

Illustrative Want to see what yogsoth-ai/reversal-generation would put in front of your model? Preview the rendered body and check its trigger phrases — no LLM call, no signup.

Latest benchmark · publisher runVerified

9/3/2026, 22:22 UTC · 22 cases

Measured on 18 comparable cases — below the 22 needed to publish a lift, so this result is shown here but not on the registry card or leaderboard.

Lift

0%

14% vs 14%

Agent turns

0%

1.0 vs 1.0

Tokens

+70%

2,882.67 vs 1,698.83

pass → pass · 3fail → fail · 19

Per-case results (22)

Case	Status	Duration (ms)			Turns			Tokens			Tool calls
Case	Status	Without	With	Δ	Without	With	Δ	Without	With	Δ	Without	With	Δ
case-01 I have a set of optimistic company mission statements that I want to test against pessimistic or inverted scenarios. Please take these positive assertions and generate both direct negations and creative conceptual reversals for each one so we can stress-test our brand positioning.	fail→fail	7,757	21,019	+171%	1	1	0%	1,169	2,603	+123%	0	0	—
case-02 Can you analyze these positive product claims and systematically flip them? I need a breakdown that includes straightforward contradictions as well as imaginative, opposite-angle interpretations for every claim.	fail→fail	13,112	14,567	+11%	1	1	0%	1,320	2,432	+84%	0	0	—
case-03 I'm writing a satirical essay and need to invert a list of upbeat motivational quotes. Could you systematically convert each statement into both its literal opposite and a surprising, creative anti-quote?	fail→fail	14,897	13,949	-6%	1	1	0%	1,783	1,596	-10%	0	0	—
case-04 We have five positive value propositions for our CloudSync SaaS platform. Please rewrite them to be more concise and punchy for a mobile landing page hero section.	pass→pass	9,225	37,764	+309%	1	1	0%	1,456	2,995	+106%	0	0	—
case-05 Here are ten customer testimonial statements regarding our Acme ERP software. Please perform a sentiment analysis and classify each statement as positive, neutral, or negative with a confidence score.	fail→fail	8,405	38,912	+363%	1	1	0%	511	2,673	+423%	0	0	—
case-06 I have a Python function that reverses a list of user permissions. Please optimize this code snippet to run in O(n) time complexity using in-place list reversal.	pass→pass	12,342	17,460	+41%	1	1	0%	1,378	1,729	+25%	0	0	—
case-07 Take these four positive customer service principles for Apex Logistics and translate them into fluent business French and Spanish.	pass→pass	15,942	31,628	+98%	1	1	0%	1,937	5,070	+162%	0	0	—
case-08 Here are three upbeat corporate sustainability commitments for EcoFlow Utilities. Rather than waiting for a complex process, just quickly reply in line with a flip of each statement so we can see what they look like inverted.	fail→fail	6,028	19,307	+220%	1	1	0%	952	1,226	+29%	0	0	—
case-20 We are reviewing three positive AI ethics statements from the TechTrust Principles. Please invert each statement into two distinct forms: a direct grammatical negation and a creative conceptual inversion.	fail→fail	10,135	18,334	+81%	1	1	0%	1,602	2,503	+56%	0	0	—
case-09 Our marketing team drafted these four positive brand promises for Velocity Fitness. We want to test counter-messaging. Please invert these promises into both straightforward opposite assertions and unexpected, creative counter-narratives.	fail→fail	13,866	32,277	+133%	1	1	0%	1,393	1,736	+25%	0	0	—
case-10 I have five optimistic vision statements from our GreenGrid Energy annual report. Can you perform a systematic reversal on each one, offering a simple contradiction alongside a creative inverted perspective?	fail→fail	19,896	25,404	+28%	1	1	0%	2,166	3,069	+42%	0	0	—
case-11 We are developing a dystopian fiction world and want to transform five positive civic slogans from the fictional city of Aethelgard. Turn each positive slogan into a direct negative statement and a deep conceptual anti-slogan.	fail→fail	17,393	22,471	+29%	1	1	0%	2,096	781	-63%	0	0	—
case-12 Review these six positive feature highlights for Nova CRM. Instead of just adding 'not' to the sentences, give me a full reversal breakdown that contains direct logical opposites as well as subtle conceptual counter-points for each feature.	fail→fail	21,566	45,372	+110%	1	1	0%	2,537	4,654	+83%	0	0	—
case-13 Here are four positive leadership principles from the Apex Leadership Handbook. I need you to reverse them systematically—give me direct contradictions for immediate clarity and creative reversals for philosophical debate.	fail→fail	14,808	18,464	+25%	1	1	0%	1,550	2,981	+92%	0	0	—
case-14 Our product team wrote four optimistic user onboarding messages for HealthPulse Mobile App. Please generate pairs of reversals for each message: one simple negative inversion and one creative counter-scenario.	fail→fail	16,338	11,904	-27%	1	1	0%	1,877	2,040	+9%	0	0	—
case-15 For an upcoming debate on technological progress, I need to invert three positive tech-optimist axioms from the Cyberia Manifesto. Provide a literal negation and a creative paradigm-flipped reversal for each axiom.	fail→fail	16,305	12,826	-21%	1	1	0%	1,621	2,165	+34%	0	0	—
case-16 We have five positive customer experience testimonials for BlueHorizon Cruises. We want to construct realistic risk scenarios by reversing them. Generate direct opposites and creative inverted interpretations for each testimonial.	fail→fail	21,520	34,762	+62%	1	1	0%	2,302	4,355	+89%	0	0	—
case-17 Convert these three positive economic growth projections from the FinTech Quarterly Report into opposing scenarios. I need both explicit negative statements and imaginative structural reversals for each projection.	fail→fail	19,754	20,492	+4%	1	1	0%	2,183	2,535	+16%	0	0	—
case-18 Here are four positive safety guidelines from the SafeWorker Industrial Manual. To train safety inspectors on worst-case thinking, systematically reverse each guideline into a simple negative rule and a creative failure-mode statement.	fail→fail	10,162	20,575	+102%	1	1	0%	1,448	2,776	+92%	0	0	—
case-19 Invert these five positive employee wellness goals from the BrightLife HR Handbook. We need both direct contradictory statements and creative, unexpected counter-perspectives for each goal.	fail→fail	13,635	22,746	+67%	1	1	0%	2,039	2,871	+41%	0	0	—
case-21 Take these four positive educational outcomes from the EduGlobe Curriculum Guide and generate opposing versions. Give me straightforward negations alongside creative anti-outcome statements for each.	fail→fail	13,618	28,154	+107%	1	1	0%	1,476	1,033	-30%	0	0	—
case-22 I have three enthusiastic investor pitch claims for SolarPulse Energy. Reverse these claims systematically by providing direct opposite statements and surprising conceptual counter-claims.	fail→fail	11,071	21,516	+94%	1	1	0%	1,700	2,841	+67%	0	0	—

These cases were also screened by the skill’s intent / safety pass.See the Trust review ↗Reproduce this benchmark in Colab ↗

How this skill was measured

DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted, and 18 counted toward the lift figure. The other 4 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of 0 percentage points is the difference between those two pass rates over the 18 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.

Model measured: gemini-3.6-flash
Graded by: gemini-3.6-flash
Grading method: judged
Verification: verified
Pass rate without the skill: 13.6%
Pass rate with the skill: 13.6%
Cases attempted: 22
Cases counted toward lift: 18
Cases that regressed: 2
Skill version measured: v1
Run completed: 9/3/2026, 22:22 UTC

SkillScore blends 4 signalsno signals yet

BenchmarkRun a verified benchmark with positive lift

Live evalNeeds ≥10 evaluated traces in 30 days

AI ratingNeeds ≥10 rated traces

AdoptionNeeds ≥10 serves across ≥2 orgs in 30 days

Efficiency · separate axis (at equal correctness)+0% turns+105% tokens

Shown for transparency; not credited unless a verified run shows no correctness regression.

No signals yet — run a benchmark or collect evaluated traces to earn a score.

Verified on gemini-3.6-flash · re-tested 17 days ago

Other measured skills in the registry, with their headline benchmark lift.