Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add pjt222/agent-almanac --skill build-coherencegit clone --depth 1 https://github.com/pjt222/agent-almanacWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/pjt222/agent-almanac/build-coherence)<a href="https://agentmods.dev/skills/pjt222/agent-almanac/build-coherence"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/build-coherence/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/pjt222/agent-almanac/build-coherence"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/build-coherence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00091 | $0.02713 |
| Opus 5.5 | $0.00036 | $0.01085 |
| Sonnet 5.5 | $0.00018 | $0.00543 |
| Haiku 4.5 | $0.00009 | $0.00271 |
Grade A, and why
build-coherence scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build Coherence
Evaluate competing approaches through independent assessment, explicit reasoning-out-loud advocacy, confidence-calibrated commitment thresholds, and structured deadlock resolution — producing coherent decisions from multiple reasoning paths.
When to Use
forage-solutionshas identified multiple valid approaches and a selection must be made- Oscillating between two approaches without committing to either
- Needing to justify a decision with structured reasoning (architecture choice, tool selection, implementation strategy)
- When a previous decision was made by gut feeling and needs evidence-based validation
- When internal reasoning is producing contradictory conclusions and coherence must be restored
- Before an irreversible action (merging, deploying, deleting) where the cost of the wrong choice is high
Inputs
- Required: Two or more competing approaches to evaluate
- Optional: Quality assessments from prior scouting (see
forage-solutions) - Optional: Decision stakes (reversible, moderate, irreversible) for threshold calibration
- Optional: Time budget for the decision
- Optional: Known failure mode (oscillation, premature commitment, groupthink)
Procedure
Step 1: Independent Evaluation
Assess each approach on its own merits before comparing them. The critical rule: do not let the assessment of approach A bias the assessment of approach B.
For each approach, evaluate independently:
Approach Evaluation Template:
┌────────────────────────┬──────────────────────────────────────────┐
│ Dimension │ Assessment │
├────────────────────────┼──────────────────────────────────────────┤
│ Approach name │ │
├────────────────────────┼──────────────────────────────────────────┤
│ Core mechanism │ How does this approach solve the problem? │
├────────────────────────┼──────────────────────────────────────────┤
│ Strengths (2-3) │ What does this approach do well? │
├────────────────────────┼──────────────────────────────────────────┤
│ Risks (2-3) │ What could go wrong? What is assumed? │
├────────────────────────┼──────────────────────────────────────────┤
│ Evidence quality │ How well-supported is this approach? │
│ │ (verified / inferred / speculated) │
├────────────────────────┼──────────────────────────────────────────┤
│ Quality score (0-100) │ Overall assessment │
├────────────────────────┼──────────────────────────────────────────┤
│ Confidence (0-100) │ How confident in this assessment? │
└────────────────────────┴──────────────────────────────────────────┘
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 213 lines · 91 tokens per session scan A 1d6e865f333c
build-coherence is a skill published in the GitHub repository pjt222/agent-almanac (42 stars, last pushed 5d ago), licensed MIT. It adds 91 tokens to every session and 2,713 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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