Borrowing it
Nothing to install: this file belongs to seeker71/Coherence-Network. 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/seeker71/Coherence-Network/main/.cursor/skills/edge-tender/SKILL.mdgit clone --depth 1 https://github.com/seeker71/Coherence-NetworkWrote 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/seeker71/coherence-network/edge-tender)<a href="https://agentmods.dev/skills/seeker71/coherence-network/edge-tender"><img src="https://agentmods.dev/badge/skills/seeker71/coherence-network/edge-tender/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/seeker71/coherence-network/edge-tender"><img src="https://agentmods.dev/badge/skills/seeker71/coherence-network/edge-tender.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00036 | $0.00435 |
| Opus 5.5 | $0.00014 | $0.00174 |
| Sonnet 5.5 | $0.00007 | $0.00087 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
edge-tender 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.
What it actually says
Edge-Tender Sensing
Quick Start
- Read the spec — find "Files to Create/Modify"
- List actual changes — which files were modified or created?
- Match — each modified file lives inside the spec's edge, or names a finding
- Report — PASS or FAIL with each finding
Sensing Checklist
- Files the spec calls for
- Files actually modified or created
- Name each file modified that lives outside the spec's edge
Output Format
PASS: All changes inside the spec's edge.
FAIL: List each finding and provide patch-ready guidance so a follow-up impl/heal can mend without starting from scratch. Use this structure:
- VERIFICATION_RESULT:
FAIL - FILES_TO_CHANGE: list of paths that need mending (from spec's Files to Create/Modify or findings)
- PATCH_GUIDANCE: actionable instructions or minimal diff (file, location, suggested change) for targeted edits
- Optional: SPEC_VERIFICATION_IMPROVEMENT: when the spec's Verification section is ambiguous, suggest concrete improvement (exact command or steps)
Example FAIL block:
VERIFICATION_RESULT: FAIL
FILES_TO_CHANGE: api/app/routers/foo.py, api/app/services/foo_service.py
PATCH_GUIDANCE: In foo.py line 42, return 404 when id is missing. In foo_service.py, add null check before calling bar().
Suggest: revert the out-of-edge change, or expand the spec to include it. Escalate to needs_decision when human judgment is the right next breath.
Scope
- Read-only craft. You sense and name; the shaper mends.
- Spec template:
specs/TEMPLATE.md— "Files to Create/Modify" defines the spec's edge.
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 · 45 lines · 36 tokens per session scan A f30b8327cd1f
edge-tender is a skill published in the GitHub repository seeker71/Coherence-Network (3 stars, last pushed today), licensed Apache-2.0. It adds 36 tokens to every session and 435 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 2026-08-31.
Other skills, from other repositories
autoreview
Structured code review through the shared OpenClaw agent-skills installation.
omh-code-review
This is an OMH code-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
explore-unknowns
Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the…
re0-merge
Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…
asplos-writing-style
Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and…