Borrowing it
Nothing to install: this file belongs to jacob-dietle/context-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jacob-dietle/context-os/main/.claude/skills/decision-accountability/SKILL.mdgit clone --depth 1 https://github.com/jacob-dietle/context-osWrote 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/jacob-dietle/context-os/decision-accountability)<a href="https://agentmods.dev/skills/jacob-dietle/context-os/decision-accountability"><img src="https://agentmods.dev/badge/skills/jacob-dietle/context-os/decision-accountability/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/jacob-dietle/context-os/decision-accountability"><img src="https://agentmods.dev/badge/skills/jacob-dietle/context-os/decision-accountability.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 20 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00077 | $0.01800 |
| Opus 5 | $0.00039 | $0.00900 |
| Sonnet 5 | $0.00015 | $0.00360 |
| Haiku 4.5 | $0.00008 | $0.00180 |
Grade A, and why
decision-accountability 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 9d 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 — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Decision Accountability
Unified check for assumption verification AND ownership accountability. Both failures lead to the same outcome: decisions that cost 10x to fix later.
When to Use
- Writing or reviewing specs
- Any architectural decision (code, auth, data model, context structure)
- When these phrases appear: "future work", "v2", "later", "simpler for now", "out of scope"
- When deferring anything that might be foundational
- Before finalizing any decision that persists
The Dual Failure Mode
Epistemic failure: "I assumed X was complex without checking" Ownership failure: "I avoided checking because the answer might mean more work"
Both produce: deferred foundations, duplicate implementations, tech debt disguised as pragmatism.
The laziness cascade:
- See decision point
- One path looks like more work
- Don't verify (because verification might confirm it's the right path)
- Pick easy path
- Dress it up as "tradeoff" or "v1 scope"
- Abdicate: "future work"
Step 1: Extract Decisions and Claims
From the spec/decision, list all claims and deferrals:
| Decision | Rationale Claims | Deferrals |
|---|---|---|
| [What was decided] | [Claims used to justify] | [What was pushed to "later"] |
Example:
| Decision | Rationale Claims | Deferrals |
|---|---|---|
| MCP has own /login | "Cross-subdomain is complex" | "SSO is future work" |
Step 2: Verify Every Claim
For each claim, attempt to falsify it:
Complexity Claims
Write the implementation. If it's <20 lines, the claim is falsified.
Claim: "Cross-subdomain cookies add complexity"
Verification:
cookies.set('session', token, { domain: '.tastematter.dev' });
Verdict: FALSIFIED — one line, not complex
Simplicity Claims
Show both options concretely:
Claim: "Separate login per service is simpler"
Option A (spec chose): MCP /login + Browser /login = 2 implementations
Option B (alternative): Browser /login only = 1 implementation
Verdict: FALSIFIED — "simpler" option is actually more complex
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 237 lines · 77 tokens per session scan A c37ea0ddb8f8
decision-accountability is a skill published in the GitHub repository jacob-dietle/context-os (108 stars, last pushed 26d ago), licensed MIT. It adds 77 tokens to every session and 1,800 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
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