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 openspec-replangit 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/openspec-replan)<a href="https://agentmods.dev/skills/digital-stoic-org/agent-skills/openspec-replan"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/openspec-replan/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/openspec-replan"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/openspec-replan.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 4 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 | $0.00033 | $0.01399 |
| Opus 5.5 | $0.00013 | $0.00560 |
| Sonnet 5.5 | $0.00007 | $0.00280 |
| Haiku 4.5 | $0.00003 | $0.00140 |
Grade A, and why
openspec-replan 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenSpec Replan
Adaptive refinement skill for blocked or drifted changes. Proposes revised tasks or pivots.
⚠️ 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.
Workflow: Analyze → Propose → Confirm → Apply
flowchart LR
A["Analyze blocker/drift"] --> B["Read context"]
B --> C["Propose revisions"]
C --> D{"User approval?"}
D -->|Yes| E["Apply changes"]
D -->|No| F["Discard"]
E --> G["Document blocker"]
classDef action fill:#C8E6C9,stroke:#388E3C,color:#000
classDef gate fill:#E1BEE7,stroke:#7B1FA2,color:#000
classDef discard fill:#FFCDD2,stroke:#D32F2F,color:#000
class A,B,C,E,G action
class D gate
class F discard
Critical: Always wait for user confirmation before applying changes (ask_first trust zone).
Guardrails
Trust Zone: ask_first (all changes require human approval)
Always ask before:
- Modifying tasks.md
- Modifying proposal.md
- Archiving files
- Any scope changes
Scope deviation threshold: >20%
- If openspec-reflect reports >20% drift, suggest replan
- Show deviation calculation in proposal
Minimal change preference:
- Count affected vs unaffected tasks
- If <50% affected, revise only those tasks
- If >50% affected, consider pivot instead
Commands
replan
Revise tasks when implementation is blocked.
Input: $ARGUMENTS = change-id [blocker-description]
Workflow:
- Read
openspec/changes/{change-id}/tasks.md, proposal.md, specs - Identify blocker (from argument or ask user)
- Analyze which tasks are affected
- Minimal change preference: Revise only affected tasks, not entire list
- Propose revised tasks with blocker context
- Wait for user approval before applying
- If approved: Update tasks.md with revisions
- Document blocker as comment in tasks.md
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 · 209 lines · 33 tokens per session scan A 24feb44a544a
openspec-replan is a skill published in the GitHub repository digital-stoic-org/agent-skills (20 stars, last pushed 12d ago), licensed MIT. It adds 33 tokens to every session and 1,399 once invoked, about $0.0001 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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