Pre Mortem
by Frank Brsrk
Run disciplined pre-mortems that replace generic risk lists with project-specific failure modes and binding decisions.
- Stress-test a product launch by imagining a 90% churn scenario backward.
- Surface organizational and regulatory blind spots before a major pivot.
- Create binding 'Ulysses Contracts' for high-stakes strategic decisions.
Free
Included in download
- Downloadable skill package
- Works with Codex CLI, Cursor
Building Ejentum, a cognitive harness API for AI agents. Small structured pieces of context retrieved at inference time,…
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See it in action
You say
Run a pre-mortem on our B2B SaaS launch for Q3. We need to identify specific failure modes and move past surface-level risks to find the underlying behavioral attractors.
Your agent does
INPUT: a B2B SaaS team running a pre-mortem on their Q3 launch.
Phase 2 (free generation) surfaces 8 failure modes. Top by team consensus: "We ship without enterprise SSO and lose three pipeline deals to competitors."
Phase 3 (behavioral attractor test) writes:
FORBIDDEN FROM RE-DERIVATION: "We ship without enterprise SSO and lose three pipeline deals to competitors."
The team re-derives from scratch and produces: "We ship without SOC2 and the same three deals stall in security review." Same structural failure (compliance gap blocks enterprise close), different surface. Behavioral attractor confirmed: the team's recurring failure mode is "we under-invest in enterprise procurement requirements." This is now a higher-priority finding than any single technical gap.
Phase 4 (probability/impact) ranks: HIGH probability × Severe impact, anchored against B2B SaaS reference class (founder-led companies historically under-invest in compliance until forced).
Phase 5 (pre-commitment design) produces three devices. Each ships with three fields:
Device: "SSO + SOC2 readiness assessment by 2026-07-15." NAMED OWNER: CTO (personally answers if the device is breached) EXTERNAL WITNESS: lead investor at next board meeting (told the commitment date) RENEGOTIATION CLAUSE: can be deferred only if a paying enterprise customer signs without SSO/SOC2 as a contractual requirement.
OUTPUT DISCIPLINE Step 0 then fires the META-REFLECTION self-check before the analysis ships: did the FORBIDDEN line genuinely re-derive (yes), did ordinal probability anchor to a reference class (yes), do all enforcement devices have three fields (yes), is the analysis traceable to the launch goal (yes), did the team avoid planning-fallacy laundering (yes). Ship.
Pre Mortem
by Frank Brsrk
Run disciplined pre-mortems that replace generic risk lists with project-specific failure modes and binding decisions.
Free
Included in download
- Downloadable skill package
- Works with Codex CLI, Cursor
- Instant install
Media gallery
See it in action
You say
Run a pre-mortem on our B2B SaaS launch for Q3. We need to identify specific failure modes and move past surface-level risks to find the underlying behavioral attractors.
Your agent does
INPUT: a B2B SaaS team running a pre-mortem on their Q3 launch.
Phase 2 (free generation) surfaces 8 failure modes. Top by team consensus: "We ship without enterprise SSO and lose three pipeline deals to competitors."
Phase 3 (behavioral attractor test) writes:
FORBIDDEN FROM RE-DERIVATION: "We ship without enterprise SSO and lose three pipeline deals to competitors."
The team re-derives from scratch and produces: "We ship without SOC2 and the same three deals stall in security review." Same structural failure (compliance gap blocks enterprise close), different surface. Behavioral attractor confirmed: the team's recurring failure mode is "we under-invest in enterprise procurement requirements." This is now a higher-priority finding than any single technical gap.
Phase 4 (probability/impact) ranks: HIGH probability × Severe impact, anchored against B2B SaaS reference class (founder-led companies historically under-invest in compliance until forced).
Phase 5 (pre-commitment design) produces three devices. Each ships with three fields:
Device: "SSO + SOC2 readiness assessment by 2026-07-15." NAMED OWNER: CTO (personally answers if the device is breached) EXTERNAL WITNESS: lead investor at next board meeting (told the commitment date) RENEGOTIATION CLAUSE: can be deferred only if a paying enterprise customer signs without SSO/SOC2 as a contractual requirement.
OUTPUT DISCIPLINE Step 0 then fires the META-REFLECTION self-check before the analysis ships: did the FORBIDDEN line genuinely re-derive (yes), did ordinal probability anchor to a reference class (yes), do all enforcement devices have three fields (yes), is the analysis traceable to the launch goal (yes), did the team avoid planning-fallacy laundering (yes). Ship.
About This Skill
Use Cases
- Stress-test a product launch by imagining a 90% churn scenario backward.
- Surface organizational and regulatory blind spots before a major pivot.
- Create binding 'Ulysses Contracts' for high-stakes strategic decisions.
- Conduct planning audits for internal migrations and infrastructure changes.
Known Limitations
- Requires user-supplied project context; cannot run autonomously without a project to analyze.
- Behavioral attractor test (Phase 3) requires the model to actually re-derive failure modes after the FORBIDDEN line is written. Weaker models may pattern-match around the suppression anchor instead of running a fresh derivation; results degrade accordingly.
- Pre-commitment enforcement layer (Phase 5) requires real humans to fill the NAMED OWNER and EXTERNAL WITNESS roles. Solo founders can use the skill but the external-witness field becomes harder to populate honestly; the renegotiation clause partially compensates.
- Not a substitute for domain-specific risk analysis (security threat modeling, financial risk assessment, regulatory compliance review). The skill catches behavioral and execution failure modes, not domain-technical ones.
- Ordinal probability ranking deliberately avoids point estimates. Teams that need calibrated forecasts for resource allocation should pair this skill with a separate forecasting workflow.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/pre-mortem -o /tmp/pre-mortem.zip && unzip -o /tmp/pre-mortem.zip -d ~/.claude/skills && rm /tmp/pre-mortem.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Pure SKILL.md content; no runtime dependencies, no framework version requirement. Works with any compatible agent (Claude Code, Codex CLI, Cursor, Copilot, Gemini CLI). Best with reasoning-capable models, because the behavioral attractor test in Phase 3 requires genuine re-derivation rather than pattern-matching around the FORBIDDEN line.
Creator
Building Ejentum, a cognitive harness API for AI agents. Small structured pieces of context retrieved at inference time, so the agent reasons through a task instead of pattern-matching to a generic answer. Adversarial systems thinking is the other thing I'm into: chaos engineering, pre-mortems, blast-radius design. Those skills sit alongside the Ejentum harness wrappers on this profile. Solo builder, open source most of what I make.
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