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 agentmods add skills/codagent-ai/agent-skills/task-compliancenpx skills add Codagent-AI/agent-skills --skill task-compliancegit clone --depth 1 https://github.com/Codagent-AI/agent-skillsWrote 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/codagent-ai/agent-skills/task-compliance)<a href="https://agentmods.dev/skills/codagent-ai/agent-skills/task-compliance"><img src="https://agentmods.dev/badge/skills/codagent-ai/agent-skills/task-compliance.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00055 | $0.00357 |
| Opus 5 | $0.00028 | $0.00179 |
| Sonnet 5 | $0.00011 | $0.00071 |
| Haiku 4.5 | $0.00006 | $0.00036 |
Grade A, and why
task-compliance 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 4d 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.
What it actually says
Task Compliance
Review the implementation against the task file(s). Extract every spec scenario (WHEN/THEN) and every Done When criterion, then verify each one was addressed. Report what's missing.
Review Process
1. Extract Checklist
From each task file, extract every:
- Spec scenario (WHEN/THEN)
- Done When criterion
- Explicit instruction in the Background or Goal sections
This is your checklist. Every item must be accounted for.
2. Check Compliance
For each checklist item, check whether the implementation addresses it.
Classify each item:
- Addressed — the implementation covers this
- Missed — no evidence this was addressed
- Partially addressed — attempted but incomplete or incorrect
When you're unsure, read the actual code in the repository to verify before classifying. Do not mark something as missed without checking the code first.
3. Report
Present your findings:
## Task Compliance
### Addressed
- [Scenario/criterion] — [evidence]
### Gaps
- [Scenario/criterion] — [what's missing or incomplete]
Guardrails
- Do not mark a scenario as missed without checking the code first. It may have been implemented without being narrated in the conversation.
- Report only. Do not fix gaps — surface them for the human to decide how to proceed.
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.
- 4d ago First seen · 54 lines · 55 tokens per session scan A cfad7b87d284
task-compliance is a skill published in the GitHub repository Codagent-AI/agent-skills (30 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 357 once invoked, about $0.0003 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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