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 digital-stoic-org/agent-skills --skill list-contextsgit clone --depth 1 https://github.com/digital-stoic-org/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/digital-stoic-org/agent-skills/list-contexts)<a href="https://agentmods.dev/skills/digital-stoic-org/agent-skills/list-contexts"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/list-contexts/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/digital-stoic-org/agent-skills/list-contexts"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/list-contexts.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 6 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00059 | $0.00798 |
| Opus 5.5 | $0.00024 | $0.00319 |
| Sonnet 5.5 | $0.00012 | $0.00160 |
| Haiku 4.5 | $0.00006 | $0.00080 |
Grade A, and why
list-contexts 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
List Contexts
Scan CONTEXT-*-llm.md files across {repo-root}/code/, projects/, repos/, and vaults/ — display cross-project context registry.
Speed: < 3 seconds
Performance Rules
- Use
rtkfor ALL shell commands (exception:git rev-parsein Phase 1) - Parallel tool calls — ALL independent calls in one message
- No unnecessary reads — extract metadata from header only (first 15 lines)
Workflow
Phase 1: Resolve Root & Scan (parallel)
Bash: git rev-parse --show-toplevel && git ls-files --others --ignored --exclude-standard --directory -- code/ projects/ repos/ vaults/ | head -50
Glob: **/code/**/CONTEXT-*-llm.md
Glob: **/projects/**/CONTEXT-*-llm.md
Glob: **/repos/**/CONTEXT-*-llm.md
Glob: **/vaults/**/CONTEXT-*-llm.md
Glob: **/code/**/done/CONTEXT-*-llm.md
Glob: **/projects/**/done/CONTEXT-*-llm.md
Glob: **/repos/**/done/CONTEXT-*-llm.md
Glob: **/vaults/**/done/CONTEXT-*-llm.md
Filter out gitignored project folders silently.
Files in done/ subfolders are tagged as archived in display.
Phase 2: Read Frontmatter (parallel)
Read first 15 lines per file. Extract: saved, stream, status, focus, goal.
Derive from path: Area, Project, Context name.
Phase 3: Format & Display
Parse $ARGUMENTS for filters (--status, --area), actions (--sync, --archive).
Group by area, sort by saved timestamp (most recent first).
Output emoji-rich markdown table.
Active vs Archived split: Files in project root → Active table. Files in done/ → separate ### 📦 Done section per area (collapsed, shown after active).
Staleness: Active contexts with saved >30 days ago → append ⚠️ stale to status.
CHECKPOINT: If --sync or --archive was passed, you MUST proceed to Phase 4-5. Do NOT stop here.
Phase 4-5: Sync/Archive
MANDATORY when --sync or --archive is passed. Do NOT skip.
--sync→ Read INDEX.md (or create if missing via Write). Regenerate Active Contexts table from Phase 2 data. Preserve other sections. Update summary counts. Confirm to user what changed.--archive <stream>→ move to Archived section with user reason
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.
- 1mo ago First seen · 69 lines · 59 tokens per session scan A 54107e8acf6d
list-contexts is a skill published in the GitHub repository digital-stoic-org/agent-skills (20 stars, last pushed 12d ago), licensed MIT. It adds 59 tokens to every session and 798 once invoked, about $0.0002 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 2026-09-04.
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