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/pantheon-org/tekhne/load-contextnpx skills add pantheon-org/tekhne --skill load-contextgit clone --depth 1 https://github.com/pantheon-org/tekhneWrote 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/pantheon-org/tekhne/load-context)<a href="https://agentmods.dev/skills/pantheon-org/tekhne/load-context"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/load-context.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 | $0.00046 | $0.01472 |
| Opus 5 | $0.00023 | $0.00736 |
| Sonnet 5 | $0.00009 | $0.00294 |
| Haiku 4.5 | $0.00005 | $0.00147 |
Grade A, and why
load-context 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.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Load Context
Load session state from .context/session/CONTEXT-{stream}-llm.md and optionally expand full resources.
Speed: < 3 seconds (default), 5-8 seconds (--full)
⚠️ AskUserQuestion Guard
CRITICAL: After EVERY AskUserQuestion call, check if answers are empty/blank. Known Claude Code bug: outside Plan Mode, AskUserQuestion silently returns empty answers without showing UI.
If answers are empty: DO NOT proceed with assumptions. Instead:
- Output: "⚠️ Questions didn't display (known Claude Code bug outside Plan Mode)."
- Present the options as a numbered text list and ask user to reply with their choice number.
- WAIT for user reply before continuing.
Performance Rules
- Use
rtkfor ALL shell commands - Parallel tool calls — ALL independent calls in one message
- Minimize round-trips
- No unnecessary synthesis — present parsed data directly
Workflow
Phase 1: Detect & Read (parallel)
Bash: rtk ls -t .context/session/CONTEXT-*llm.md .context/session/done/CONTEXT-*llm.md 2>/dev/null || true
Read: .context/session/CONTEXT-{stream}-llm.md (if stream known from $ARGUMENTS)
If not found in .context/session/, check .context/session/done/ subfolder. If found there, note 📦 (from done/) in report.
If multiple streams and no selection → AskUserQuestion with options (mark done/ files with 📦).
Filename: "default" → .context/session/CONTEXT-llm.md, "{name}" → .context/session/CONTEXT-{name}-llm.md
Phase 2: Expand Resources (if --full)
Parallel Read: OpenSpec project/proposal/tasks.md, top 3 hot files, manifest.yaml. DO NOT restore tasks — informational only.
Thinking Artifacts (if ## Thinking Artifacts section exists in CONTEXT file):
- Default mode: display artifact paths in resume report (no content read)
--fullmode: Read referenced thinking artifacts and include brief summaries in report
Phase 3: Format Resume Report
Parse key-value header + markdown sections → human-friendly report.
What ships with it
12 files 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.
- .audits/2026-04-11/analysis.md 1.2 KB
- .audits/2026-04-11/audit.json 485 B
- .audits/2026-04-11/remediation-plan.md 3.6 KB
- .audits/latest 10 B
- .tessl-plugin/plugin.json 231 B
- evals/instructions.json 1.3 KB
- evals/scenario-01.md 1.6 KB
- evals/scenario-02.md 1.4 KB
- evals/scenario-03.md 1.6 KB
- evals/scenario-04.md 1.7 KB
- evals/scenario-05.md 1.6 KB
- reference.md 2.3 KB
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 · 121 lines · 46 tokens per session scan A 3974c648f6c0
load-context is a skill published in the GitHub repository pantheon-org/tekhne (10 stars, last pushed 3d ago), licensed MIT. It adds 46 tokens to every session and 1,472 once invoked, about $0.0002 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 2026-08-31.
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