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Skills/neolabhq/context-engineering-kit/decay
decay logo

decay

neolabhq/context-engineering-kit
564 installs1K stars
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Installation

npx skills add https://github.com/neolabhq/context-engineering-kit --skill decay

Summary

Manage evidence freshness by identifying stale decisions and providing governance actions

SKILL.md

Evidence Freshness Management

Manages evidence freshness by identifying stale decisions and providing governance actions. Implements FPF B.3.4 (Evidence Decay).

Key principle: Evidence is perishable. Decisions built on expired evidence carry hidden risk.

---

Quick Concepts

What is "stale" evidence?

Every piece of evidence has a valid_until date. A benchmark from 6 months ago may no longer reflect current system performance. A security audit from before a major dependency update doesn't account for new vulnerabilities.

When evidence expires, the decision it supports becomes questionable - not necessarily wrong, just unverified.

What is "waiving"?

Waiving = "I know this evidence is stale, I accept the risk temporarily."

Use it when:

  • You're about to launch and don't have time to re-run all tests
  • The evidence is only slightly expired and probably still valid
  • You have a scheduled date to refresh it properly

A waiver is NOT ignoring the problem - it's explicitly documenting that you know about the risk and accept it until a specific date.

The Three Actions

SituationActionWhat it does
Evidence is old but decision is still goodRefreshRe-run the test, get fresh evidence
Decision is obsolete, needs rethinkingDeprecateDowngrade hypothesis, restart evaluation
Accept risk temporarilyWaiveRecord the risk acceptance with deadline

---

Action (Run-Time)

Step 1: Generate Freshness Report

  1. List all evidence files in .fpf/evidence/
  2. For each evidence file:
  • Read valid_until from frontmatter
  • Compare with current date
  • Classify as FRESH, STALE, or EXPIRED

Step 2: Present Report

## Evidence Freshness Report

### EXPIRED (Requires Action)

| Evidence | Hypothesis | Expired | Days Overdue |
|----------|------------|---------|--------------|
| ev-benchmark-2024-06-15 | redis-caching | 2024-12-15 | 45 |
| ev-security-2024-07-01 | auth-module | 2025-01-01 | 14 |

### STALE (Warning)

| Evidence | Hypothesis | Expires | Days Left |
|----------|------------|---------|-----------|
| ev-loadtest-2024-10-01 | api-gateway | 2025-01-20 | 5 |

### FRESH

| Evidence | Hypothesis | Expires |
|----------|------------|---------|
| ev-unittest-2025-01-10 | validation-lib | 2025-07-10 |

### WAIVED

| Evidence | Waived Until | Rationale |
|----------|--------------|-----------|
| ev-perf-old | 2025-02-01 | Migration pending |

Step 3: Handle User Actions

Based on user response, perform one of:

Refresh

User: "Refresh the redis caching evidence"

  1. Navigate to the hypothesis in .fpf/knowledge/L2/
  2. Re-run validation to create fresh evidence
Deprecate

User: "Deprecate the auth module decision"

  1. Move hypothesis from L2 to L1 (or L1 to L0)
  2. Create deprecation record:
# In .fpf/evidence/deprecate-auth-module-2025-01-15.md
---
id: deprecate-auth-module-2025-01-15
hypothesis_id: auth-module
action: deprecate
from_layer: L2
to_layer: L1
created: 2025-01-15T10:00:00Z
---

# Deprecation: auth-module

**Reason**: Evidence expired, technology landscape changed

**Next Steps**: Run `/fpf:propose-hypotheses` to explore alternatives
  1. Move the hypothesis file:
mv .fpf/knowledge/L2/auth-module.md .fpf/knowledge/L1/auth-module.md
Waive

User: "Waive the benchmark until February"

  1. Create waiver record:
# In .fpf/evidence/waiver-benchmark-2025-01-15.md
---
id: waiver-benchmark-2025-01-15
evidence_id: ev-benchmark-2024-06-15
waived_until: 2025-02-01
created: 2025-01-15T10:00:00Z
---

# Waiver: ev-benchmark-2024-06-15

**Evidence**: ev-benchmark-2024-06-15
**Hypothesis**: redis-caching
**Waived Until**: 2025-02-01
**Rationale**: Migration pending, will re-run after completion

**Accepted By**: User
**Created**: 2025-01-15

**WARNING**: This evidence returns to EXPIRED status after 2025-02-01.

---

Natural Language Usage

You don't need to memorize evidence IDs. Just describe what you want.

Example Workflow

User: /fpf:decay

Agent shows report with stale evidence

User: Waive the benchmark until February, we'll re-run it after the migration.

Agent: Creating waiver for ev-benchmark-2024-06-15 until 2025-02-01.
       Rationale: "Re-run after migration"

       [Creates .fpf/evidence/waiver-benchmark-2025-01-15.md]

User: The vendor API is being discontinued. Deprecate that decision.

Agent: Deprecating hypothesis-vendor-api from L2 to L1.
       [Moves file, creates deprecation record]

       Next step: Run /fpf:propose-hypotheses to explore alternatives.

---

WLNK Principle

A hypothesis is STALE if any of its evidence is expired (and not waived).

This is the Weakest Link (WLNK) principle: reliability = min(all evidence). One stale piece makes the whole decision questionable.

---

Audit Trail

All actions are logged:

ActionWhat's Recorded
Deprecatefrom_layer, to_layer, reason, date
Waiveevidence_id, until_date, rationale, date

Files created in .fpf/evidence/:

  • deprecate-{hypothesis}-{date}.md
  • waiver-{evidence}-{date}.md

---

Common Workflows

Weekly Maintenance

/fpf:decay                    # See what's stale
# For each stale item: refresh, deprecate, or waive

Pre-Release

/fpf:decay                    # Check for stale decisions
# Either refresh evidence or explicitly waive with documented rationale
# Waiver rationales become part of release documentation

After Major Change

# Dependency update, API change, security advisory...
/fpf:decay                    # See what's affected
# Deprecate obsolete decisions
# Start new hypothesis cycle for replacements

Score

0–100
65/ 100

Grade

C

Popularity17/30

564 installs — growing adoption. Source repo has 1,103 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Decay skill score badge previewScore badge

Markdown

[![Decay skill](https://www.remoteopenclaw.com/skills/neolabhq/context-engineering-kit/decay/badges/score.svg)](https://www.remoteopenclaw.com/skills/neolabhq/context-engineering-kit/decay)

HTML

<a href="https://www.remoteopenclaw.com/skills/neolabhq/context-engineering-kit/decay"><img src="https://www.remoteopenclaw.com/skills/neolabhq/context-engineering-kit/decay/badges/score.svg" alt="Decay skill"/></a>

Decay FAQ

How do I install the Decay skill?

Run “npx skills add https://github.com/neolabhq/context-engineering-kit --skill decay” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Decay skill do?

Manage evidence freshness by identifying stale decisions and providing governance actions The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Decay skill free?

Yes. Decay is a free, open-source skill published from neolabhq/context-engineering-kit. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Decay work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Decay works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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